Syed Rakin Ahmed, MD, PhD

Rakin is an M.D.-Ph.D. candidate in a unique, multi-institutional program between Harvard, MIT, and Dartmouth. He graduated with a Ph.D. in Biophysics (Sigma Xi) from Harvard Medical School in May 2024 (in 3.5 years), advised by Bruce Rosen [1] and Jayashree Kalpathy-Cramer [2] in the QTIM lab at MIT and MGH/HST Martinos Center. His dissertation, 'Generating Clinically Translatable AI Models for Cancer Diagnostics', at the intersection of computer science, biophysics, engineering, and medicine, resulted in numerous publications, presentations and honors [3], including the Mind, Brain, Behavior Award.

Rakin previously studied Biomedical Engineering, Applied Math and Economics as a Dartmouth Class of 2018 on a full-ride scholarship, graduating with High Honors, Phi Beta Kappa, Tau Beta Pi and Magna Cum Laude, and completed an exchange at the University of Oxford. He was accepted to medical school via the highly competitive Biomedical Engineering Early Assurance Program as a college sophomore, which waived the MCAT and featured a single streamlined application.

Rakin’s clinical and research interests span AI/deep learning (DL), oncology, imaging, and genomics. He is broadly interested in addressing AI deployment and model robustness concerns, with a goal of integrating DL into oncology workflows to augment the clinician, thereby replacing costly, risky, and invasive tests. He has worked at the Broad Institute (with David Liu, [4]), MGH, and MSKCC, among other institutions. Dedicated to mentorship, he has also served as Resident Tutor, Fellow in Values Engagement (Intellectual Vitality Fellow), Resident Fellow, Teaching Fellow and advisor to pre-med, FGLI, and international students.

Disclosures:

• Employment: none
• Compensation: none
• Ownership: none
• Leadership: none