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.
Pressman Fellows 2025-26
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
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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
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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
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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.
Coming Soon!
The call for applications for the Pressman Fellowship for Summer 2026 will open Fall 2025.
Application Requirements:
A specific aims page (maximum 0.5 page).
Research Proposal (maximum 1.5 pages). The research proposal should list faculty mentors from the Center of Precision Health and Artificial Intelligence (CPHAI), Radiology, and if applicable, non-radiology Dartmouth Health departments.
Current CV.
Current transcript from the applicant’s degree program at Geisel.
Fellowship Details:
Mentorship: Each fellow will work under the guidance of faculty mentors from both the Department of Radiology and CPHAI. Additional mentors from relevant clinical departments may also be involved.
Outcome: Fellows are expected to summarize their research findings in a report, present their findings at Radiology and CPHAI Grand Rounds, and aim to publish in a peer-reviewed journal.
For more details, click the button below. Ensure you review all the fellowship requirements and prepare your documents accordingly. If you have any questions or need further assistance regarding the application process, feel free to contact Dr. Jessica Sin via email.