Jacob Rosenthal
Welcome to my website!
About Me
Artificial Intelligence will completely transform many areas of medicine. Interdisciplinary work bridging the gap between the worlds of medicine and machine learning is the key to unlocking this potential and allowing us to tangibly improve patient care and advance our fundamental knowledge of the biological processes underlying disease. I work on building computational tools to learn useful information from biomedical data (images, genomics, text, etc.) at scale and applying them in the realms of clinical medicine and basic research.
I am currently an MD-PhD student at the Tri-Institutional MD-PhD Program of Weill Cornell Medicine/Rockefeller University/Memorial Sloan Kettering Cancer Center. Before that, I worked as a data scientist on the AI Operations group at Dana-Farber Cancer Institute in Boston. Before that, I studied data science at Harvard University. Before that, I studied biology at Oberlin College. Before that, I grew up in Seattle.
Hobbies include running, taking care of my houseplants, and drinking copious amounts of coffee.
I also like to play chess:
Research
I am interested in the application of machine learning and other computational approaches to learn from high-dimensional biological/medical data including imaging, *-omics, and text. How can we use these data to improve patient care and gain a better understanding of the underlying biological processes causing disease?
