I am currently seeking applications for one MS/PhD or PhD student position to start in Summer or Fall 2027. The position is in machine learning for health and behavioral science and will be jointly funded by the mDOT Center and MassAITC, both of which received five year funding renewals from NIH in 2026. Machine learning research topics of interest include Bayesian supervised learning, Bayesian deep learning, foundation models, and large language models, with a focus on robust prediction and policy learning from sparse and heterogeneous data. Preferred qualifications include:

• A strong course background in machine learning, probability, and statistics
• A demonstrated interest and commitment to applications in health and/or behavioral science
• Strong written and verbal communication skills and interest in working on an interdisciplinary team
• Prior research experience (preferably evidence by a published workshop or conference paper in an ML venue such as NeurIPS, ICML, ICLR, AAAI, IJCAI, UAI, etc.).

Interested candidates should reach out to me via email with the subject line “ML for Health 2027 PhD application.” Please provide  a brief statement of interest, a copy of your CV, and a link to one machine learning research artifact (a published paper, preprint, project report, github repo, etc.) that best demonstrates your prior research experience. Due to a high volume in inquiries, I will likely only be able to respond to select candidates.