Primary Email Address: (Either academic email or personal email)
* must provide value
Personal/Secondary Email Address:
Legal First Name * must provide value
Legal Middle Name (if applicable)
Maiden Name (if applicable)
Preferred Name (if applicable)
nickname / alternative name / etc.
Preferred Pronouns (she/her, he/him, they/them, etc.)
Primary Phone Number (Include Area Code)
* must provide value
(xxx) xxx-xxxx
Secondary Phone Number (Include Area Code)
(xxx) xxx-xxxx
Date of Birth *Must be 18 years or older by the start date of the program (May 26th, 2025 ) to be eligible *
* must provide value
M-D-Y
Gender Identity: * must provide value
Male
Female
Non-Binary/Gender Variant
Transgender Male
Transgender Female
Not Listed
Prefer Not To Answer
If selected "Not Listed", feel free to elaborate (if comfortable):
Indicate the demographic group(s) in which you would include yourself: You must indicate at least one ! *Select all that apply*
* must provide value
If "Other", please elaborate:
Do any of these disadvantaged background categories apply to you? *Select all that apply
* must provide value
Are you a First Generation College Student? * must provide value
Yes
No
Are you U.S. Military Veteran? * must provide value
Yes
No
Are you a U.S. Citizen, U.S. National, or U.S. permanent resident? * must provide value
Yes
No
If you are NOT a U.S. citizen, national, or permanent resident, are you currently attending school in the U.S. on a J-1 or F-1 visa? *U.S. citizens, U.S. nationals, U.S. permanent residents, and international students who currently attend a U.S. academic institution under a J-1 or F-1 visa are eligible*
*Note: There are limited # of spots for International students due to grant eligibility*
* must provide value
Yes
No
Other
Current Street Address * must provide value
Current City * must provide value
Current State/Territory * must provide value
Alabama (AL) Alaska (AK) Arizona (AZ) Arkansas (AR) California (CA) Colorado (CO) Connecticut (CT) Delaware (DE) District of Columbia (DC) Florida (FL) Georgia (GA) Hawaii (HI) Idaho (ID) Illinois (IL) Indiana (IN) Iowa (IA) Kansas (KS) Kentucky (KY) Louisiana (LA) Maine (ME) Maryland (MD) Massachusetts (MA) Michigan (MI) Minnesota (MN) Mississippi (MS) Missouri (MO) Montana (MT) Nebraska (NE) Nevada (NV) New Hampshire (NH) New Jersey (NJ) New Mexico (NM) New York (NY) North Carolina (NC) North Dakota (ND) Ohio (OH) Oklahoma (OK) Oregon (OR) Pennsylvania (PA) Rhode Island (RI) South Carolina (SC) South Dakota (SD) Tennessee (TN) Texas (TX) Utah (UT) Vermont (VT) Virginia (VA) Washington (WA) West Virginia (WV) Wisconsin (WI) Wyoming (WY) Puerto Rico (PR) Virgin Islands (VI) Other
Current Zipcode * must provide value
Permanent Address (if different from current address listed above)
Ex: Family Residence
If you selected "Other", please elaborate:
Do you currently live within 30 miles of Winston-Salem and be available to commute to the internship workplace? (On-campus housing is provided for non-local students)
* must provide value
Yes
No
Will you be available for the entire duration of the entire program from May 26th to August 1st, 2025? *Interns will have off for Juneteenth (6/19) & Independence Day (7/4)*
* must provide value
Yes
No
Possibly
If you answered "No" or "Possibly", please elaborate & provide your availability for the summer:
* must provide value
Are you currently registered or planning to take any summer courses from May 26th to August 1st, 2025? * must provide value
Yes
No
If you selected 'Yes' to the question above, please note the following: Unfortunately, as per our Summer Internship program policy, interns attending our program are discouraged from taking courses during the internship program so they may solely focus on their research experience here at Wake Forest.Please select 'Yes' to acknowledge that this can affect your application if you are registered for summer classes: * must provide value
Yes
Current Academic Institution
*Please provide full name of institution* i.e. Wake Forest University vs WFU Multiple locations/campuses format: "Institution name - location/campus" i.e. California State University - Long Beach or University of North Carolina - Chapel Hill * must provide value
What is your current academic classification? (as of the Fall 2024/Spring 2025 semesters)
* must provide value
Freshman
Sophomore
Junior
Senior
Other
Master's Graduate Student
If other, please elaborate:
Master's Graduate Students: What is your current year of graduate school? 1st Year
2nd Year
3rd Year
4th Year
Other
If other, please elaborate:
Anticipated Graduation Date: *Note for ALL applicants: If you graduate before the start of the program (May 26th, 2025), you are ineligible for participation.
* must provide value
M-D-Y
Academic Major: *Select all that apply*
* must provide value
Other Engineering Major(s): * must provide value
Grade Point Average: *Applicants must have a cumulative GPA of 3.0 or higher (on the 4.0 scale) to be eligible
*Freshman applicants: If you have NOT received your GPA for the fall semester, please enter an estimated GPA until you've received an official GPA
* must provide value
Are any Engineering Research opportunities offered at your current institution? * must provide value
Yes
No
Does your current instutition offer any PhD programs within the STEM fields? * must provide value
Yes
No
Please elaborate on the availability (or lack thereof) of Engineering Research opportunities at your current institution:
Have you had previous research experience? *NOTE: Previous research experience is NOT required for consideration*
* must provide value
Yes
No
Do you have any software or coding experience? * must provide value
Yes
No
Please select which software(s) you have experience with: *Select all that apply*
* must provide value
Please list and elaborate on all software(s) you have experience with (including those listed above): * must provide value
Do you have any research design experiences with: *Select all that apply*
* must provide value
If other, please list any research design experiences:
* must provide value
How did you hear about this program? *Select all that apply
Who recommended the program to you?
Which website(s) did you use to find our program? *Select all that apply
If "other", how did you hear about this program?
Biomechanics Sports/Injury Biomechanics Imaging Cancer Medical Device Design Tissue Engineering / Regenerative Medicine Cell & Molecular Medicine Bioinformatics & Computational Biology Clinical Informatics Health Data Science Artificial Intelligence
Biomechanics Sports/Injury Biomechanics Imaging Cancer Medical Device Design Tissue Engineering / Regenerative Medicine Cell & Molecular Medicine Bioinformatics & Computational Biology Clinical Informatics Health Data Science Artificial Intelligence
Biomechanics Sports/Injury Biomechanics Imaging Cancer Medical Device Design Tissue Engineering / Regenerative Medicine Cell & Molecular Medicine Bioinformatics & Computational Biology Clinical Informatics Health Data Science Artificial Intelligence
If other, please elaborate:
* must provide value
If applicable, feel free to elaborate on your future plans: *Applicants can further elaborate on the required 1-page statement of academic interest*
Character Limit: 500
1st Project Choice: * must provide value
Project 1: Intervening to Mitigate Weight Loss Associated Bone Loss | Drs. Beavers & Weaver Project 2: In-Situ Minimally Invasive Surgical Robotic Bioprinting | Dr. Brown Project 3: Mechanically Matched Patient Specific Bone Surrogates | Dr. Brown Project 4: Full Field Spinal Characterization Methodology Development | Dr. Brown Project 5: Vulnerable Road User In-Depth Crash Investigation Study (VICIS): Pedestrian Injury and Causation Assessment | Dr. Devane Project 6: Human Body Model Development for Trauma Research | Dr. Gayzik Project 7: Standardizing Methods for Virtual Assessment in Human Body Models | Dr. Gayzik Project 8: Physics-based Finite Element Analysis for Injury Criteria Using Human Surrogates | Dr. Gayzik Project 9: Development of Signal Analysis Tools for a National Crash Database | Dr. Gayzik Project 10: Instrumented Human Surrogate for Blast and Ballistic PPE Testing | Dr. Gayzik Project 11: Balance and Mobility Phenotypes of Fall Risk in Persons with Multiple Sclerosis | Dr. R. McGinnis Project 12: Digital Health Measures of Postpartum PTSD | Drs. R. McGinnis & E. McGinnis Project 13: Predicting Panic Attacks in the Wild | Drs. R. McGinnis & E. McGinnis Project 14: Detecting Anxiety and Depression in Young Children | Drs. R. McGinnis & E. McGinnis Project 15: Crash Injury Research and Engineering Network [CIREN] | Dr. Stitzel Project 16: Head Impact Exposure Quantification and Mitigation in Motorsports | Dr. Stitzel Project 17: Subconcussive Head Impact Analysis using Instrumented Mouthpiece Data | Dr. Stitzel Project 18: Evidence-Based Intervention for Improved Head Impact Safety in Youth Sports | Dr. Urban Project 19: Neck & Lumbar Spine Injury Risk Curve Development for Spaceflight Applications | Drs. Weaver & Devane Project 20: High-Resolution Peripheral Quantitative Computed Tomography (HR-pQCT) Scanning in Clinical Trial Interventions | Dr. Weaver Project 21: Muscle Quality/Radiomics Features and Muscle-Bone Crosstalk | Dr. Weaver Project 22: Image-based Biophysical Modeling to Differentiate Radiation-induced Injury from Tumor Recurrence Following Stereotactic Radiosurgery | Dr. Weis Project 23: Predicting Cancer Treatment-Related Cardiotoxicity by Imaging Cardiac Mechanical Stiffness | Dr. Weis Project 24: Deep Survival Learning for Signal Type Data | Dr. Akbilgic Project 25: Investigating the Genetic Architecture of the Metabolome to Provide Insight into Cardiometabolic Disease Risk | Dr. Allred Project 26: Developing Artificial Intelligence to Detect Ear Infections | Dr. Gurcan Project 27: Machine Learning Methods for Maternal Health | Dr. Gurcan Project 28: Enhancing Ear Disease Diagnosis and Reducing Over-treatment Using Machine Learning-Assisted Otoscopy | Dr. Gurcan Project 29: Image and Patient Characteristics Fusion Analysis for Colorectal Cancer Prognosis | Dr. Gurcan Project 30: Identify Tumor Bud Hotspots at the Tumor Invasive Front in Colorectal Cancer Histopathology | Dr. Gurcan Project 31: Novel Deep learning Algorithms and Explainable AI on ECG | Dr. Karabayir Project 32: Language-based AI Model on genomic data to predict multimorbidity | Dr. Ma & Horvath Project 33: Identify Neuroimaging-based Alzheimer's Subtypes Through Data-driven Machine-learning Approaches | Dr. Ma Project 34: Multi-modal Neuroimaging Segmentation to Identify Overlapping of Cerebral Small Vessel Disease and Alzheimer's Disease | Dr. Ma Project 35: Neuroimaging-Based Graph Neural Network for Alzheimer's Disease | Dr. Ma Project 36: Multimodal System for Early Identification of Cardiovascular Diseases | Dr. Moghimi Project 37: Wearable Flexible Patch for Early Identification of Melanoma | Dr. Moghimi Project 38: AI-Assisted Pre-screening for Neurological Disorders | Dr. Movaghar Project 39: LLM-based Generation of Synthetic Omics Data for Baboons | Dr. Quillen Project 40: Multi-Omic Analysis of the Biology of Aging in Non-Human Primates | Dr. Quillen Project 41: Multi-Modal Fusion of Histopathology and Omics Data for Precision Cancer Diagnosis | Dr. Rezapour Project 42: Standardized, HArmonized REpository of longitudinal aging data (SHARE data) | Drs. Speiser & O'Connell Project 43: Benchmarking Traditional and Machine Learning Methods for Clustered and Longitudinal Data | Drs. Speiser & O'Connell Project 44: Exploring Vision and Mobility in BNET-EYE | Dr. Thompson Project 45: LLM based Data Quality Assessment in EHRs | Dr. Topaloglu Project 46: Biomedical Imaging of the Brain Tumor Microenvironment | Dr. Zhao Project 47: Machine learning using multiparametric MRI radiomic feature analysis to predict functional outcomes in patients with acute ischemic stroke | Dr. Khanna Project 48: Molecular Detection and Analysis of Trauma Bioindicators | Dr. Hall Project 49: Understanding Pitching Efficiency | Dr. Nicholson Project 50: The Rodent Research-18 Mission to the International Space Station: Prevention of Skeletal Complications | Dr. Willey
2nd Project Choice: * must provide value
Project 1: Intervening to Mitigate Weight Loss Associated Bone Loss | Drs. Beavers & Weaver Project 2: In-Situ Minimally Invasive Surgical Robotic Bioprinting | Dr. Brown Project 3: Mechanically Matched Patient Specific Bone Surrogates | Dr. Brown Project 4: Full Field Spinal Characterization Methodology Development | Dr. Brown Project 5: Vulnerable Road User In-Depth Crash Investigation Study (VICIS): Pedestrian Injury and Causation Assessment | Dr. Devane Project 6: Human Body Model Development for Trauma Research | Dr. Gayzik Project 7: Standardizing Methods for Virtual Assessment in Human Body Models | Dr. Gayzik Project 8: Physics-based Finite Element Analysis for Injury Criteria Using Human Surrogates | Dr. Gayzik Project 9: Development of Signal Analysis Tools for a National Crash Database | Dr. Gayzik Project 10: Instrumented Human Surrogate for Blast and Ballistic PPE Testing | Dr. Gayzik Project 11: Balance and Mobility Phenotypes of Fall Risk in Persons with Multiple Sclerosis | Dr. R. McGinnis Project 12: Digital Health Measures of Postpartum PTSD | Drs. R. McGinnis & E. McGinnis Project 13: Predicting Panic Attacks in the Wild | Drs. R. McGinnis & E. McGinnis Project 14: Detecting Anxiety and Depression in Young Children | Drs. R. McGinnis & E. McGinnis Project 15: Crash Injury Research and Engineering Network [CIREN] | Dr. Stitzel Project 16: Head Impact Exposure Quantification and Mitigation in Motorsports | Dr. Stitzel Project 17: Subconcussive Head Impact Analysis using Instrumented Mouthpiece Data | Dr. Stitzel Project 18: Evidence-Based Intervention for Improved Head Impact Safety in Youth Sports | Dr. Urban Project 19: Neck & Lumbar Spine Injury Risk Curve Development for Spaceflight Applications | Drs. Weaver & Devane Project 20: High-Resolution Peripheral Quantitative Computed Tomography (HR-pQCT) Scanning in Clinical Trial Interventions | Dr. Weaver Project 21: Muscle Quality/Radiomics Features and Muscle-Bone Crosstalk | Dr. Weaver Project 22: Image-based Biophysical Modeling to Differentiate Radiation-induced Injury from Tumor Recurrence Following Stereotactic Radiosurgery | Dr. Weis Project 23: Predicting Cancer Treatment-Related Cardiotoxicity by Imaging Cardiac Mechanical Stiffness | Dr. Weis Project 24: Deep Survival Learning for Signal Type Data | Dr. Akbilgic Project 25: Investigating the Genetic Architecture of the Metabolome to Provide Insight into Cardiometabolic Disease Risk | Dr. Allred Project 26: Developing Artificial Intelligence to Detect Ear Infections | Dr. Gurcan Project 27: Machine Learning Methods for Maternal Health | Dr. Gurcan Project 28: Enhancing Ear Disease Diagnosis and Reducing Over-treatment Using Machine Learning-Assisted Otoscopy | Dr. Gurcan Project 29: Image and Patient Characteristics Fusion Analysis for Colorectal Cancer Prognosis | Dr. Gurcan Project 30: Identify Tumor Bud Hotspots at the Tumor Invasive Front in Colorectal Cancer Histopathology | Dr. Gurcan Project 31: Novel Deep learning Algorithms and Explainable AI on ECG | Dr. Karabayir Project 32: Language-based AI Model on genomic data to predict multimorbidity | Dr. Ma & Horvath Project 33: Identify Neuroimaging-based Alzheimer's Subtypes Through Data-driven Machine-learning Approaches | Dr. Ma Project 34: Multi-modal Neuroimaging Segmentation to Identify Overlapping of Cerebral Small Vessel Disease and Alzheimer's Disease | Dr. Ma Project 35: Neuroimaging-Based Graph Neural Network for Alzheimer's Disease | Dr. Ma Project 36: Multimodal System for Early Identification of Cardiovascular Diseases | Dr. Moghimi Project 37: Wearable Flexible Patch for Early Identification of Melanoma | Dr. Moghimi Project 38: AI-Assisted Pre-screening for Neurological Disorders | Dr. Movaghar Project 39: LLM-based Generation of Synthetic Omics Data for Baboons | Dr. Quillen Project 40: Multi-Omic Analysis of the Biology of Aging in Non-Human Primates | Dr. Quillen Project 41: Multi-Modal Fusion of Histopathology and Omics Data for Precision Cancer Diagnosis | Dr. Rezapour Project 42: Standardized, HArmonized REpository of longitudinal aging data (SHARE data) | Drs. Speiser & O'Connell Project 43: Benchmarking Traditional and Machine Learning Methods for Clustered and Longitudinal Data | Drs. Speiser & O'Connell Project 44: Exploring Vision and Mobility in BNET-EYE | Dr. Thompson Project 45: LLM based Data Quality Assessment in EHRs | Dr. Topaloglu Project 46: Biomedical Imaging of the Brain Tumor Microenvironment | Dr. Zhao Project 47: Machine learning using multiparametric MRI radiomic feature analysis to predict functional outcomes in patients with acute ischemic stroke | Dr. Khanna Project 48: Molecular Detection and Analysis of Trauma Bioindicators | Dr. Hall Project 49: Understanding Pitching Efficiency | Dr. Nicholson Project 50: The Rodent Research-18 Mission to the International Space Station: Prevention of Skeletal Complications | Dr. Willey
3rd Project Choice: * must provide value
Project 1: Intervening to Mitigate Weight Loss Associated Bone Loss | Drs. Beavers & Weaver Project 2: In-Situ Minimally Invasive Surgical Robotic Bioprinting | Dr. Brown Project 3: Mechanically Matched Patient Specific Bone Surrogates | Dr. Brown Project 4: Full Field Spinal Characterization Methodology Development | Dr. Brown Project 5: Vulnerable Road User In-Depth Crash Investigation Study (VICIS): Pedestrian Injury and Causation Assessment | Dr. Devane Project 6: Human Body Model Development for Trauma Research | Dr. Gayzik Project 7: Standardizing Methods for Virtual Assessment in Human Body Models | Dr. Gayzik Project 8: Physics-based Finite Element Analysis for Injury Criteria Using Human Surrogates | Dr. Gayzik Project 9: Development of Signal Analysis Tools for a National Crash Database | Dr. Gayzik Project 10: Instrumented Human Surrogate for Blast and Ballistic PPE Testing | Dr. Gayzik Project 11: Balance and Mobility Phenotypes of Fall Risk in Persons with Multiple Sclerosis | Dr. R. McGinnis Project 12: Digital Health Measures of Postpartum PTSD | Drs. R. McGinnis & E. McGinnis Project 13: Predicting Panic Attacks in the Wild | Drs. R. McGinnis & E. McGinnis Project 14: Detecting Anxiety and Depression in Young Children | Drs. R. McGinnis & E. McGinnis Project 15: Crash Injury Research and Engineering Network [CIREN] | Dr. Stitzel Project 16: Head Impact Exposure Quantification and Mitigation in Motorsports | Dr. Stitzel Project 17: Subconcussive Head Impact Analysis using Instrumented Mouthpiece Data | Dr. Stitzel Project 18: Evidence-Based Intervention for Improved Head Impact Safety in Youth Sports | Dr. Urban Project 19: Neck & Lumbar Spine Injury Risk Curve Development for Spaceflight Applications | Drs. Weaver & Devane Project 20: High-Resolution Peripheral Quantitative Computed Tomography (HR-pQCT) Scanning in Clinical Trial Interventions | Dr. Weaver Project 21: Muscle Quality/Radiomics Features and Muscle-Bone Crosstalk | Dr. Weaver Project 22: Image-based Biophysical Modeling to Differentiate Radiation-induced Injury from Tumor Recurrence Following Stereotactic Radiosurgery | Dr. Weis Project 23: Predicting Cancer Treatment-Related Cardiotoxicity by Imaging Cardiac Mechanical Stiffness | Dr. Weis Project 24: Deep Survival Learning for Signal Type Data | Dr. Akbilgic Project 25: Investigating the Genetic Architecture of the Metabolome to Provide Insight into Cardiometabolic Disease Risk | Dr. Allred Project 26: Developing Artificial Intelligence to Detect Ear Infections | Dr. Gurcan Project 27: Machine Learning Methods for Maternal Health | Dr. Gurcan Project 28: Enhancing Ear Disease Diagnosis and Reducing Over-treatment Using Machine Learning-Assisted Otoscopy | Dr. Gurcan Project 29: Image and Patient Characteristics Fusion Analysis for Colorectal Cancer Prognosis | Dr. Gurcan Project 30: Identify Tumor Bud Hotspots at the Tumor Invasive Front in Colorectal Cancer Histopathology | Dr. Gurcan Project 31: Novel Deep learning Algorithms and Explainable AI on ECG | Dr. Karabayir Project 32: Language-based AI Model on genomic data to predict multimorbidity | Dr. Ma & Horvath Project 33: Identify Neuroimaging-based Alzheimer's Subtypes Through Data-driven Machine-learning Approaches | Dr. Ma Project 34: Multi-modal Neuroimaging Segmentation to Identify Overlapping of Cerebral Small Vessel Disease and Alzheimer's Disease | Dr. Ma Project 35: Neuroimaging-Based Graph Neural Network for Alzheimer's Disease | Dr. Ma Project 36: Multimodal System for Early Identification of Cardiovascular Diseases | Dr. Moghimi Project 37: Wearable Flexible Patch for Early Identification of Melanoma | Dr. Moghimi Project 38: AI-Assisted Pre-screening for Neurological Disorders | Dr. Movaghar Project 39: LLM-based Generation of Synthetic Omics Data for Baboons | Dr. Quillen Project 40: Multi-Omic Analysis of the Biology of Aging in Non-Human Primates | Dr. Quillen Project 41: Multi-Modal Fusion of Histopathology and Omics Data for Precision Cancer Diagnosis | Dr. Rezapour Project 42: Standardized, HArmonized REpository of longitudinal aging data (SHARE data) | Drs. Speiser & O'Connell Project 43: Benchmarking Traditional and Machine Learning Methods for Clustered and Longitudinal Data | Drs. Speiser & O'Connell Project 44: Exploring Vision and Mobility in BNET-EYE | Dr. Thompson Project 45: LLM based Data Quality Assessment in EHRs | Dr. Topaloglu Project 46: Biomedical Imaging of the Brain Tumor Microenvironment | Dr. Zhao Project 47: Machine learning using multiparametric MRI radiomic feature analysis to predict functional outcomes in patients with acute ischemic stroke | Dr. Khanna Project 48: Molecular Detection and Analysis of Trauma Bioindicators | Dr. Hall Project 49: Understanding Pitching Efficiency | Dr. Nicholson Project 50: The Rodent Research-18 Mission to the International Space Station: Prevention of Skeletal Complications | Dr. Willey
4th Project Choice: * must provide value
Project 1: Intervening to Mitigate Weight Loss Associated Bone Loss | Drs. Beavers & Weaver Project 2: In-Situ Minimally Invasive Surgical Robotic Bioprinting | Dr. Brown Project 3: Mechanically Matched Patient Specific Bone Surrogates | Dr. Brown Project 4: Full Field Spinal Characterization Methodology Development | Dr. Brown Project 5: Vulnerable Road User In-Depth Crash Investigation Study (VICIS): Pedestrian Injury and Causation Assessment | Dr. Devane Project 6: Human Body Model Development for Trauma Research | Dr. Gayzik Project 7: Standardizing Methods for Virtual Assessment in Human Body Models | Dr. Gayzik Project 8: Physics-based Finite Element Analysis for Injury Criteria Using Human Surrogates | Dr. Gayzik Project 9: Development of Signal Analysis Tools for a National Crash Database | Dr. Gayzik Project 10: Instrumented Human Surrogate for Blast and Ballistic PPE Testing | Dr. Gayzik Project 11: Balance and Mobility Phenotypes of Fall Risk in Persons with Multiple Sclerosis | Dr. R. McGinnis Project 12: Digital Health Measures of Postpartum PTSD | Drs. R. McGinnis & E. McGinnis Project 13: Predicting Panic Attacks in the Wild | Drs. R. McGinnis & E. McGinnis Project 14: Detecting Anxiety and Depression in Young Children | Drs. R. McGinnis & E. McGinnis Project 15: Crash Injury Research and Engineering Network [CIREN] | Dr. Stitzel Project 16: Head Impact Exposure Quantification and Mitigation in Motorsports | Dr. Stitzel Project 17: Subconcussive Head Impact Analysis using Instrumented Mouthpiece Data | Dr. Stitzel Project 18: Evidence-Based Intervention for Improved Head Impact Safety in Youth Sports | Dr. Urban Project 19: Neck & Lumbar Spine Injury Risk Curve Development for Spaceflight Applications | Drs. Weaver & Devane Project 20: High-Resolution Peripheral Quantitative Computed Tomography (HR-pQCT) Scanning in Clinical Trial Interventions | Dr. Weaver Project 21: Muscle Quality/Radiomics Features and Muscle-Bone Crosstalk | Dr. Weaver Project 22: Image-based Biophysical Modeling to Differentiate Radiation-induced Injury from Tumor Recurrence Following Stereotactic Radiosurgery | Dr. Weis Project 23: Predicting Cancer Treatment-Related Cardiotoxicity by Imaging Cardiac Mechanical Stiffness | Dr. Weis Project 24: Deep Survival Learning for Signal Type Data | Dr. Akbilgic Project 25: Investigating the Genetic Architecture of the Metabolome to Provide Insight into Cardiometabolic Disease Risk | Dr. Allred Project 26: Developing Artificial Intelligence to Detect Ear Infections | Dr. Gurcan Project 27: Machine Learning Methods for Maternal Health | Dr. Gurcan Project 28: Enhancing Ear Disease Diagnosis and Reducing Over-treatment Using Machine Learning-Assisted Otoscopy | Dr. Gurcan Project 29: Image and Patient Characteristics Fusion Analysis for Colorectal Cancer Prognosis | Dr. Gurcan Project 30: Identify Tumor Bud Hotspots at the Tumor Invasive Front in Colorectal Cancer Histopathology | Dr. Gurcan Project 31: Novel Deep learning Algorithms and Explainable AI on ECG | Dr. Karabayir Project 32: Language-based AI Model on genomic data to predict multimorbidity | Dr. Ma & Horvath Project 33: Identify Neuroimaging-based Alzheimer's Subtypes Through Data-driven Machine-learning Approaches | Dr. Ma Project 34: Multi-modal Neuroimaging Segmentation to Identify Overlapping of Cerebral Small Vessel Disease and Alzheimer's Disease | Dr. Ma Project 35: Neuroimaging-Based Graph Neural Network for Alzheimer's Disease | Dr. Ma Project 36: Multimodal System for Early Identification of Cardiovascular Diseases | Dr. Moghimi Project 37: Wearable Flexible Patch for Early Identification of Melanoma | Dr. Moghimi Project 38: AI-Assisted Pre-screening for Neurological Disorders | Dr. Movaghar Project 39: LLM-based Generation of Synthetic Omics Data for Baboons | Dr. Quillen Project 40: Multi-Omic Analysis of the Biology of Aging in Non-Human Primates | Dr. Quillen Project 41: Multi-Modal Fusion of Histopathology and Omics Data for Precision Cancer Diagnosis | Dr. Rezapour Project 42: Standardized, HArmonized REpository of longitudinal aging data (SHARE data) | Drs. Speiser & O'Connell Project 43: Benchmarking Traditional and Machine Learning Methods for Clustered and Longitudinal Data | Drs. Speiser & O'Connell Project 44: Exploring Vision and Mobility in BNET-EYE | Dr. Thompson Project 45: LLM based Data Quality Assessment in EHRs | Dr. Topaloglu Project 46: Biomedical Imaging of the Brain Tumor Microenvironment | Dr. Zhao Project 47: Machine learning using multiparametric MRI radiomic feature analysis to predict functional outcomes in patients with acute ischemic stroke | Dr. Khanna Project 48: Molecular Detection and Analysis of Trauma Bioindicators | Dr. Hall Project 49: Understanding Pitching Efficiency | Dr. Nicholson Project 50: The Rodent Research-18 Mission to the International Space Station: Prevention of Skeletal Complications | Dr. Willey
5th Project Choice: * must provide value
Project 1: Intervening to Mitigate Weight Loss Associated Bone Loss | Drs. Beavers & Weaver Project 2: In-Situ Minimally Invasive Surgical Robotic Bioprinting | Dr. Brown Project 3: Mechanically Matched Patient Specific Bone Surrogates | Dr. Brown Project 4: Full Field Spinal Characterization Methodology Development | Dr. Brown Project 5: Vulnerable Road User In-Depth Crash Investigation Study (VICIS): Pedestrian Injury and Causation Assessment | Dr. Devane Project 6: Human Body Model Development for Trauma Research | Dr. Gayzik Project 7: Standardizing Methods for Virtual Assessment in Human Body Models | Dr. Gayzik Project 8: Physics-based Finite Element Analysis for Injury Criteria Using Human Surrogates | Dr. Gayzik Project 9: Development of Signal Analysis Tools for a National Crash Database | Dr. Gayzik Project 10: Instrumented Human Surrogate for Blast and Ballistic PPE Testing | Dr. Gayzik Project 11: Balance and Mobility Phenotypes of Fall Risk in Persons with Multiple Sclerosis | Dr. R. McGinnis Project 12: Digital Health Measures of Postpartum PTSD | Drs. R. McGinnis & E. McGinnis Project 13: Predicting Panic Attacks in the Wild | Drs. R. McGinnis & E. McGinnis Project 14: Detecting Anxiety and Depression in Young Children | Drs. R. McGinnis & E. McGinnis Project 15: Crash Injury Research and Engineering Network [CIREN] | Dr. Stitzel Project 16: Head Impact Exposure Quantification and Mitigation in Motorsports | Dr. Stitzel Project 17: Subconcussive Head Impact Analysis using Instrumented Mouthpiece Data | Dr. Stitzel Project 18: Evidence-Based Intervention for Improved Head Impact Safety in Youth Sports | Dr. Urban Project 19: Neck & Lumbar Spine Injury Risk Curve Development for Spaceflight Applications | Drs. Weaver & Devane Project 20: High-Resolution Peripheral Quantitative Computed Tomography (HR-pQCT) Scanning in Clinical Trial Interventions | Dr. Weaver Project 21: Muscle Quality/Radiomics Features and Muscle-Bone Crosstalk | Dr. Weaver Project 22: Image-based Biophysical Modeling to Differentiate Radiation-induced Injury from Tumor Recurrence Following Stereotactic Radiosurgery | Dr. Weis Project 23: Predicting Cancer Treatment-Related Cardiotoxicity by Imaging Cardiac Mechanical Stiffness | Dr. Weis Project 24: Deep Survival Learning for Signal Type Data | Dr. Akbilgic Project 25: Investigating the Genetic Architecture of the Metabolome to Provide Insight into Cardiometabolic Disease Risk | Dr. Allred Project 26: Developing Artificial Intelligence to Detect Ear Infections | Dr. Gurcan Project 27: Machine Learning Methods for Maternal Health | Dr. Gurcan Project 28: Enhancing Ear Disease Diagnosis and Reducing Over-treatment Using Machine Learning-Assisted Otoscopy | Dr. Gurcan Project 29: Image and Patient Characteristics Fusion Analysis for Colorectal Cancer Prognosis | Dr. Gurcan Project 30: Identify Tumor Bud Hotspots at the Tumor Invasive Front in Colorectal Cancer Histopathology | Dr. Gurcan Project 31: Novel Deep learning Algorithms and Explainable AI on ECG | Dr. Karabayir Project 32: Language-based AI Model on genomic data to predict multimorbidity | Dr. Ma & Horvath Project 33: Identify Neuroimaging-based Alzheimer's Subtypes Through Data-driven Machine-learning Approaches | Dr. Ma Project 34: Multi-modal Neuroimaging Segmentation to Identify Overlapping of Cerebral Small Vessel Disease and Alzheimer's Disease | Dr. Ma Project 35: Neuroimaging-Based Graph Neural Network for Alzheimer's Disease | Dr. Ma Project 36: Multimodal System for Early Identification of Cardiovascular Diseases | Dr. Moghimi Project 37: Wearable Flexible Patch for Early Identification of Melanoma | Dr. Moghimi Project 38: AI-Assisted Pre-screening for Neurological Disorders | Dr. Movaghar Project 39: LLM-based Generation of Synthetic Omics Data for Baboons | Dr. Quillen Project 40: Multi-Omic Analysis of the Biology of Aging in Non-Human Primates | Dr. Quillen Project 41: Multi-Modal Fusion of Histopathology and Omics Data for Precision Cancer Diagnosis | Dr. Rezapour Project 42: Standardized, HArmonized REpository of longitudinal aging data (SHARE data) | Drs. Speiser & O'Connell Project 43: Benchmarking Traditional and Machine Learning Methods for Clustered and Longitudinal Data | Drs. Speiser & O'Connell Project 44: Exploring Vision and Mobility in BNET-EYE | Dr. Thompson Project 45: LLM based Data Quality Assessment in EHRs | Dr. Topaloglu Project 46: Biomedical Imaging of the Brain Tumor Microenvironment | Dr. Zhao Project 47: Machine learning using multiparametric MRI radiomic feature analysis to predict functional outcomes in patients with acute ischemic stroke | Dr. Khanna Project 48: Molecular Detection and Analysis of Trauma Bioindicators | Dr. Hall Project 49: Understanding Pitching Efficiency | Dr. Nicholson Project 50: The Rodent Research-18 Mission to the International Space Station: Prevention of Skeletal Complications | Dr. Willey
In a few short sentences, please describe your interest for the top research projects you've selected from our program list: *Applicants can further elaborate on the required 1-page statement of academic interest*
* must provide value
Are you interested in the eREU KEEN Program Opportunity? * must provide value
Yes
No
1st Project Choice: * must provide value
BioBe: Detecting Anxiety and Depression in Young Children | Drs. Ryan & Ellen McGinnis Elemance, LLC: Rapid Design and Optimization of Personal Protective Equipment to Mitigate Warfighter Injury Risk | Drs. Tanner Filben & Zachary Hostetler Elemance, LLC: Computational Modeling of Motor Vehicle Occupants in Generic Interiors Developed from 3D Scans | Dr. Derek Jones
2nd Project Choice: * must provide value
BioBe: Detecting Anxiety and Depression in Young Children | Drs. Ryan & Ellen McGinnis Elemance, LLC: Rapid Design and Optimization of Personal Protective Equipment to Mitigate Warfighter Injury Risk | Drs. Tanner Filben & Zachary Hostetler Elemance, LLC: Computational Modeling of Motor Vehicle Occupants in Generic Interiors Developed from 3D Scans | Dr. Derek Jones
3rd Project Choice: * must provide value
BioBe: Detecting Anxiety and Depression in Young Children | Drs. Ryan & Ellen McGinnis Elemance, LLC: Rapid Design and Optimization of Personal Protective Equipment to Mitigate Warfighter Injury Risk | Drs. Tanner Filben & Zachary Hostetler Elemance, LLC: Computational Modeling of Motor Vehicle Occupants in Generic Interiors Developed from 3D Scans | Dr. Derek Jones
In a few short sentences, please describe your interest for the top research projects you've selected from our program list: *Applicants can further elaborate on the required 1-page statement of academic interest*
* must provide value
Feel free to use this space to add any additional information relevant to your application: Questions? Email us at: BME-REU@wakehealth.edu
Upload a single page, single-spaced statement of your personal academic interest: Please describe why you selected your top research project choices from the options available by our program. In your response, explain how these projects align with your academic interests, short-term and long-term career goals, and any relevant skills or experiences you bring that will contribute to your success in the projects. * must provide value
Acceptable File Formats: PDF or MS Document
Please upload a copy of your resume or CV containing your previous work history and education: * must provide value
Acceptable File Formats: PDF or MS Document
Transcript submissions are required for consideration! Please upload your most up to date unofficial OR *official transcript here: You can have your institution send an *official transcript by email with your full name in the subject line by the deadline (January 24th, 2025) to:
BME-REU@wakehealth.edu
*Note: Official transcripts are NOT required. Unofficial transcripts are sufficient for eligability*
* must provide value
Acceptable File Formats: PDF or MS Document
If you have a secondary transcript, please upload it here:
Reference's Name: *Academic/Professional References Only*
* must provide value
Email Address: *Verify reference email before submitting! * Incorrect/misspelled email address will not receive the required letter of recommendation form
* must provide value
Phone Number: *Include area code (& extension if applicable)
* must provide value
(xxx) xxx-xxxx
What is this person's relationship to you and/or title? (i.e. Faculty Mentor, Advisor, Teacher, Professor, etc.)
* must provide value
By checking this box, I have verified the accuracy of my application and affirm that I have reviewed the criteria for the Biomedical Engineering and Informatics Summer Research Internship program: * must provide value
Ineligible
BME
CAIR
CALIBIR
KEEN
Submit
Save & Return Later