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Samuel D. Pressman Fellowship in Medical Imaging, Precision Health, and Artificial Intelligence

The Samuel D. Pressman Fellowship was established in August 2007 with the generous gift from Barry D. Pressman, M.D., Dartmouth Class of 1964 and Dartmouth Medical School Class of 1965.  This unique opportunity enables fellows to engage in cutting edge research at the intersection between medical imaging, artificial intelligence, and precision health.  This fellowship is an exceptional opportunity for M.D., PH.D., M.S., and M.P.H. students at the Geisel School of Medicine to advance their skills in research, manuscript writing, and presentation, all while contributing to impactful publications and presentations.

Apply Now!

The call for applications for the Pressman Fellowship for Summer 2026 are open now!

Background

The Samuel D. Pressman Fellowship in the Department of Radiology at Dartmouth Health (DH), the Geisel School of Medicine, and the Center for Precision Health and Artificial Intelligence (CPHAI) will enable MD, MS, MPH, and PhD students at Geisel to engage in innovative and emerging areas of research at the intersection between medical imaging, artificial intelligence, and precision health.

Finances

$6,000.00 funded by the Samuel D. Pressman Fund will be provided to the successful candidate for pursing a research project that meets the criteria set forth above. This project would be expected to span a 10-week period over the Summer of 2026.

Objectives

Over the 10 weeks beginning on June 15, 2026 until August 26, 2026, the student will develop skills in performing and presenting research and writing manuscripts involving medical imaging data and artificial intelligence, resulting in one or more publications or presentations.

Structure

The Fellowship consists of a number of components:

    1. Mentorship: A successful candidate will have identified faculty mentors from both the Department of Radiology and from CPHAI.

    2. Collaboration: Candidates whose research involves application of imaging data to clinical questions outside of radiology will also have a faculty mentor from an appropriate clinical department at DH, thereby promoting research collaboration between the Department of Radiology, CPHAI, and other DH departments.

    3. Presentation and publication: The successful candidate will submit a report of their research findings to the Pressman Fellowship committee at the completion of their summer internship on or before August 26, 2026. This candidate will also present their research findings at jointly-hosted Radiology and CPHAI Grand Rounds. Ideally, this candidate will also publish their findings in a peer-reviewed journal.

Evaluation

  1. Formal evaluation by project supervisors

  2. Success in presentation and/or paper submissions

  3. Evaluation of research presentation

Application

This will be a competitive application. The applications will be assessed and awarded by the Pressman Fellowship Committee.

Students interested in applying should send the following materials by January 16, 2026 to the following email address: pressman.fellowship.radiology@hitchcock.org

Please include the following materials in the application packet:

  1. Specific Aims (0.5 page maximum)

  2. Research proposal (1.5 page maximum)

    • The proposal should include a list of the applicant’s CPHAI, radiology, and if applicable, non-radiology DH faculty mentors with their email contact information, which will be used to confirm the faculty member’s support for the proposed research project.

  3. Current CV

  4. Current transcript for the applicant’s Geisel degree program.

Student applicants will be informed of the Fellowship award by March 16, 2026.

For more details, click the button below. Ensure you review all the fellowship requirements and prepare your documents accordingly. For any questions or additional details, please contact Dr. Jessica Sin (jessica.m.sin@hitchcock.org).

Learn more

Pressman Fellow for Summer 2026

Past Fellows

Steven Angtuaco, Geisel Class of 2028

Mentors:

Indrani Bhattacharya, Ph.D., Biomedical Data Science, CPHAI

Jessica Sin, M.D., Ph.D., Radiology, CPHAI

Matthew Maeder, M.D., Radiology

 James Yu, M.D., M.H.S., Radiation Oncology

Marc Seltzer, M.D., Nuclear Medicine

Lawrence Dagrosa, M.D., Urology

Lillian Dominguez Konicki, M.D., Radiology

Project :

Seeing is Believing: Understanding Human-AI Interaction Patterns in Prostate Cancer Imaging with Eye-Tracking

  • Born, raised, and working in rural Arkansas, I worked as a schoolteacher before rejoining the medical field this past year! If the last few years have taught me anything, it's that my academic interests in metagenomics & psychology could never have fully prepared me to be the only science teacher at an understaffed & underserved high school. Indeed, when our principal abruptly passed away from cancer, it fell to me and my premedical background to take the lead, hugging my students as we worked together to find meaning in chemotherapy and oncogenes. It reminded me of one of my Filipino family's sayings, "When a good doctor enters a room, everyone should know that things will be okay."

    My goal is to be a physician who cares for patients while teaching them to take care of themselves. Through the Pressman fellowship, I am excited to rekindle my interest in psychology by exploring how artificial intelligence shapes perception, trust, and decision-making in my current favorite field: radiology. If you share my passion for health equity, radiology (or radiation oncology), suicide awareness, or research, I would love to connect and collaborate. 

Erikson Nichols, MS, MMS, Geisel Class of 2027

Project :

Clinical Reasoning in the Treatment of Pediatric Distal Radius Fractures: A Comparison of Generic vs. Retrieval Augmented Generated Large Language Models

Mentors:

Jessica Sin, M.D., Ph.D., Radiology, CPHAI

Rameez Qudsi, M.D, M.P.H., Orthopedics

  • As a Division 1 baseball athlete, pianist and neuroscience major at Duke University, I developed an interest in the relationship between mind and body and completed a thesis within the Duke Human Performance Optimization Laboratory. After participating in several entrepreneurship accelerators to design a diagnostic tool to enhance pre-operative visualization of intracranial electrodes in epilepsy patients by combining 3D printing and augmented reality, I pursued graduate school at the Duke Fuqua School of Business and Johns Hopkins Carey Business School to further understand the integration of health policy, technological innovation and strategic management in optimizing care delivery at the systems level. Prior to medical school, I worked as a research coordinator at the Johns Hopkins Transplant Oncology and Infectious Diseases Clinical Research Center and in the pediatrics department at the Hospital for Special Surgery. Since matriculating at the Geisel School of Medicine, I have been selected to the Albert Schweitzer Fellowship and Swigart Ethics Fellowship, served as the Chief Executive Officer of Medicine in Motion, served as co-president of the Orthopedic Surgery Interest Group and led an innovation project through the DALI engineering lab and Mass Gen MESH bio-design incubator.

Jose Romero, M.S., Geisel Class of 2028

Mentors:

Indrani Bhattacharya, Ph.D., Biomedical Data Science, CPHAI

David Pastel, M.D., Radiology

Joseph Paydarfar, M.D., Otolaryngology, Audiology, and Maxillofacial Surgery

Project :

Automated Surgical Target Volumes for Enhanced Neck Dissection Planning in Head and Neck Squamous Cell Carcinoma

  • I am a second-year medical student at the Geisel School of Medicine at Dartmouth. I earned a bachelor’s degree in neuroscience from the University of Texas at Austin and a master’s degree in medical science from the University of North Texas Health Science Center. My research focuses on developing artificial intelligence (AI)-enabled tools to generate precise surgical target volumes to guide neck dissections in patients with head and neck cancer, and to assess the clinical utility of these systems. Our team is working to integrate machine learning into clinical workflows to enhance surgical planning for head and neck cancer patients and improve patient outcomes.

Jillian Melbourne,Health Data Science, Dartmouth College

Mentors:

Dr. Saeed Hassanpour, PhD, Founding Director of Dartmouth Center for Precision Health & Artificial Intelligence, Professor in the Departments of Biomedical Data Science, Computer Science, and Epidemiology

Dr. Roberta diFlorio-Alexander, MD, MS, Associate Professor in the Departments of Radiology and Obstetrics and Gynecology

 Dr. Jonathan Marotti, MD, Associate Professor in the Department of Pathology and Laboratory Medicine

Project :

Multimodal Radiology–Pathology Integration for Breast Cancer Recurrence Risk Prediction

  • Shortly after graduating from UCLA with a B.S. in neuroscience, I became interested in leveraging data for patient-specific care while working as a research assistant at Stanford University on personalized, adaptive deep brain stimulation algorithms for Parkinson's disease. Now as a first-year Health Data Science master's student at Dartmouth College and Program Manager at Stanford University, my research focuses on novel statistical approaches for personalized prediction using medical imaging and wearable sensor data, with a particular emphasis on health equity and understudied populations. Through the Pressman Fellowship, I am excited to develop multi-modal strategies integrating radiology and pathology data for breast cancer recurrence risk prediction. Following my master's degree, I plan to pursue a Ph.D. in biomedical data science to advance computational methods that enable individualized clinical decision-making for underserved populations.