AI-Assisted Platform for Scientific Data Analytics
Building a full-stack workflow for materials-science data preparation, interactive model fitting, and human-verified AI assistance.
B.S.E. Data Science
2025-09-01
University of Michigan, Ann Arbor
Mechanical Engineering (Dual Degree)
2023-09-01
2025-05-31
Shanghai Jiao Tong University, UM-SJTU Joint Institute
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Mars Asia · Global IT Service Center
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Three questions I keep circling: AI for science, AI for decision-making, and what data-driven methods are actually worth once they leave the benchmark.
Building a full-stack workflow for materials-science data preparation, interactive model fitting, and human-verified AI assistance.
Fine-tuning EPCOT on single-cell multi-omics data to predict gene expression from chromatin accessibility, with reproducible preprocessing and cell-specific evaluation.
Using structured LLM simulations, bandits, and budget constraints to study data-driven incentives for heterogeneous travelers.
Studying multi-server split learning, low-bit representation transfer, and privacy–utility trade-offs in medical visual question answering.
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