I am a 2nd year PhD student in computer science at MIT in the clinical machine learning group advised by David Sontag. I am interested in characterizing variation in how patients are treated, evaluating the effect of treatment policies, and modeling the progression of chronic diseases.
I completed my MEng and BS in computer science at MIT in 2019. I interned at Philips research in summer 2018 and IBM research in January 2018. I am grateful to have received the Abdul Latif Jameel fellowship for machine learning and health solutions for my first year of PhD. [CV]
I am passionate about welcoming new students to MIT. I currently serve as a co-vice president of visit days and orientation in the EECS graduate student association. For many years, I advised first-year undergraduates and served as an undergraduate orientation leader.
Trajectory inspection: a method for iterative clinician-driven design of reinforcement learning studies.
Christina X Ji*, Michael Oberst*, Sanjat Kanjilal, and David Sontag. *equal contribution
To appear in the American medical informatics association (AMIA) 2021 virtual informatics summit.
Modeling progression of Parkinson's disease. MEng thesis. 2019. [thesis]