Christina X Ji

Christina

I finished my PhD in computer science at MIT this summer. My research in machine learning for healthcare was focused on 1) characterizing how providers make different treatment decisions using causal inference and statistics and 2) detecting changes over time in healthcare settings and updating ML models. I completed my MEng and BS in computer science at MIT in 2019. Resume

Research

I use machine learning, causal inference, and statistics to tackle clinical questions. Some projects include:

Internships

I had the opportunity to explore different kinds of problems:

Teaching

I am passionate about teaching:

I am honored to have received the following teaching and mentoring awards:

Community service

I also care about building a welcoming community. To help incoming students find their place at MIT:

Publications

Characterizing variation in healthcare across time and providers using machine learning.
PhD thesis. 2024.

Assessing variation in first-line type 2 diabetes treatment across eGFR levels and providers.
Christina X Ji, Saul Blecker, Michael Oberst, Ming-Chieh Shih, Leora Horwitz, and David Sontag.
Under review. 2024.
[paper][code]

Seq-to-final: a benchmark for tuning from sequential distributions to a final time point.
Christina X Ji, Ahmed M Alaa, and David Sontag.
Under review. 2024.
[paper] [code]

Large-scale study of temporal shift in health insurance claims.
Christina X Ji, Ahmed M Alaa, and David Sontag.
Oral spotlight at Conference on Health, Inference, and Learning (CHIL) 2023.
[paper] [poster] [video] [code]

Finding regions of heterogeneity in decision-making via expected conditional covariance.
Justin Lim*, Christina X Ji*, Michael Oberst*, Saul Blecker, Leora Horwitz, and David Sontag. *equal contribution
Neural information processing systems (NeurIPS) 2021.
[paper] [poster] [video] [code]

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
American medical informatics association (AMIA) 2021 virtual informatics summit.
[paper] [video] [code]

Modeling progression of Parkinson's disease.
MEng thesis. 2019.
[thesis] [code]

Contact

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