I am a tenure-track Assistant Professor with the Gaitonde Endowed Career Development Professorship in the Department of Computer Science and Engineering and a faculty co-hire in the Institute for Computational and Data Sciences (ICDS) at Penn State University (PSU). I lead the Responsible and Reliable AI Lab (R² Lab). I received my PhD degree in Computer Science at Arizona State University (ASU) in 2022, advised by Dr. Huan Liu. My research interests are broadly in AI, with a particular focus on responsible and reliable AI, causal AI, foundation world models, and their applications in science and for good. More details can be found in my CV (Updated on 10/01/26).

Prospective students: We are always looking for curious and self-motivated PhD students and visiting students to join us. If you are interested, please email me your CV and transcript(s). Preference will be given to students who have worked with me before. I’m also happy to work with self-funded master’s and undergraduate students.

What is a PhD like? 10 easy ways to fail a Ph.D./ Advice for students and junior researchers/ You and your research

News

• [10/2026] Our (first) latent world model paper is online. Feedback is welcome!
• [10/2026] Invited to serve as a meta-reviewer for WSDM’27 Demo Track.
• [10/2026] Invited to serve on the Advisory Committee for the PSU ICDS AI Hub.
• [09/2026] Two papers are accepted to NeurIPS’26, including my first single-author paper! Thanks, Claude.
• [09/2026] Invited lecture on AI foundations at PSU ICDS Fall Workshop Series.
• [08/2026] One paper accepted to the Journal of Biomedical Informatics.
• [08/2026] One paper accepted to EMNLP’26.
• [07/2026] Received an NSF award to research AI for drug discovery as PI.
• [07/2026] Invited talk at Adobe.
• [07/2026] Two papers are accepted to COLM’26.
• [07/2026] Our paper on conformal prediction for drug discovery is online.
• [07/2026] Invited talk at Abridge.
• [06/2026] Invited talk at Argonne National Lab.
• [06/2026] Invited talk at Amazon.
• [06/2026] Invited lecture on Socially Responsible AI at the LSST Discovery Alliance (LSST-DA).
• [05/2026] Three papers accepted to KDD’26.
• [04/2026] Five papers accepted to ICML’26.
• [04/2026] Our paper “Early Risk Prediction with Temporally and Contextually Grounded Clinical Language Processing” is accepted to TACL’26.
• [04/2026] Our paper “Post-Training Adaptive Conformal Prediction for Incomplete Time Series” is accepted to TMLR’26.
• [04/2026] Invited to organize the Open SkAI Conference 2026. Call for Abstract Submission.
• [04/2026] Three papers are accepted to ACL’2026 Findings.
• [04/2026] Invited talk at SkAI Sprint
• [03/2026] Invited panelist in the Academic Panel on The Governance Challenge: Academic Approaches to Safe AI at the UIC AI Business and Society Symposium
• [02/2026] Three papers accepted to PAKDD’2026
• [02/2026] Invited talk at CME Group.
• [02/2026] Invited talk at WSDM’26 CausalBench Workshop.
• [02/2026] One paper accepted to the Journal of Structure and Infrastructure Engineering.
• [01/2026] One paper accepted to the Journal of Risk and Uncertainty Analysis.