Samuel D. Pressman Fellowship

Jillian Melbourne

MS Biomedical Data Science (Expected 2027), Geisel School of Medicine

Project
Multimodal Radiology–Pathology Integration for Breast Cancer Recurrence Risk Prediction

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

Bio
Shortly after graduating from UCLA with a BS 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 PhD in biomedical data science to advance computational methods that enable individualized clinical decision-making for underserved populations.

Steven Angtuaco

Geisel Class of 2028

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

Mentors
Indrani Bhattacharya, PhD, Biomedical Data Science, CPHAI
Jessica Sin, MD, PhD, Radiology, CPHAI
Matthew Maeder, MD, Radiology
James Yu, MD, MHS, Radiation Oncology
Marc Seltzer, MD, Nuclear Medicine
Lawrence Dagrosa, MD, Urology
Lillian Dominguez Konicki, MD, Radiology

Bio
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, MD, PhD, Radiology, CPHAI
Rameez Qudsi, MD, MPH, Orthopedics

Bio
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, MS

Geisel Class of 2028

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

Mentors
Indrani Bhattacharya, PhD, Biomedical Data Science, CPHAI
David Pastel, MD, Radiology
Joseph Paydarfar, MD, Otolaryngology, Audiology, and Maxillofacial Surgery

Bio
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.