About Me

I am currently a Postdoctoral Fellow at Department of Computer Science of Johns Hopkins University, working with Prof. Suchi Saria. I graduated with Ph.D. at University of Texas at Austin, where I was associated with IDEAL, WNCG and IFML. I was advised by Prof. Joydeep Ghosh. I’ve also worked with Prof. Paul Liang, Prof. Nhat Ho and Prof. Qiang Liu on some interesting research problems. I got my Bachelor’s degree in electronics and eletrical engineering from The University of Edinburgh.

Research Interests

I build multimodal foundation models and agents that acquire the core competencies of human experts: integrating heterogeneous evidence as it unfolds over time, reasoning about “what-if” trajectories, and staying reliable as the situation evolves. My work bridges core machine learning methodology with high-stakes applications such as medicine.

• Multimodal foundation models: multimodal fusion, cross-modal interactions, clinical foundation models.

• Counterfactual reasoning & simulation: counterfactual simulation, physiology-constrained generative models.

• Trustworthy & enduring deployment: uncertainty quantification, sequential monitoring, continual learning.

• Foundations of machine learning: neural scaling laws, time-series sequence models, interpretability.

I am on 2026 - 2027 academic job market, would love to connect to discuss about futures!
No visa sponsorship is required for my academic or industry employment in the United States.

Recent News

• (6/15/26) Received the ICML 2026 Gold Reviewer Award.
• (1/22/26) Massively Multimodal Foundation Models accepted to ICLR 2026.
• (9/15/25) Invited talk at EcoSta 2025.
• (5/1/25) WATCH accepted to ICML 2025.
• (4/1/25) Between Linear and Sinusoidal accepted to TMLR.
• (9/25/24) FuseMoE accepted to NeurIPS 2024.
• (6/1/24) Novel Node Category Detection accepted to ECML-PKDD 2024.
• (9/22/23) One paper accepted to NeurIPS 2023.
• (9/1/23) Started my appointment as a Postdoctoral Fellow in Johns Hopkins.
• (7/17/23) Finished my PhD journey at UT!
• (5/23/23) I will start working with Prof. Suchi Saria as a Postdoctoral Fellow!
• (5/31/22) Started my internship at Google.
• (5/15/22) One paper accepted to ICML 2022.
• (2/1/22) Successfully passed my qualifying exam, and now become a Ph.D. candidate!
• (1/22/21) One paper accepted to AISTATS 2021.
• (9/25/20) One paper accepted to NeurIPS 2020 as a spotlight presentation.

Professional Experience

• Postdoctoral Fellow, Johns Hopkins University. 9/23 - now.
• Research Intern, Google Cloud AI. 5/22 - 9/22.
• Data Scientist Intern, Intuit. 6/21 - 9/21.
• Research Intern, Salesforce. 6/20 - 8/20.
• Applied Scientist Intern, CognitiveScale. 5/18 - 8/18.

Service

• Conference reviewer: ICLR 2020 - now; NeurIPS 2020 - now; ICML 2021 - now; AISTATS 2021 - now; IJCNN 2023 - now; ML4H 2023 - now; ICASSP 2023 - now; MLHC 2024 - now; SDM 2026 - now.
• Journal reviewer: Pattern Recognition; Journal of Open Source Software; IEEE T-PAMI; Nature Biomedical Engineering; Medical Image Analysis.
• Mentor, ML4H Author & Reviewer & Career Mentorship Program, 2024 - now.
• Technical Program Committee, WellComp Workshop at UbiComp/ISWC, 2026.
• Reading Group Organizer, Multimodal Learning in Health at JHU, 2024 - 2025.