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.
Selected Projects
I enjoy making things. Here are a selection of projects that I have worked on over the years.
Foundation-Model Fine-Tuning for Regulatory Genomics
Fine-tuning EPCOT on single-cell multi-omics data to predict gene expression from chromatin accessibility, with reproducible preprocessing and cell-specific evaluation.
LLM-Assisted Incentive Design for Mobility Systems
Using structured LLM simulations, bandits, and budget constraints to study data-driven incentives for heterogeneous travelers.
Scalable Split Learning and Quantization for Vision–Language Models in Medicine
Studying multi-server split learning, low-bit representation transfer, and privacy–utility trade-offs in medical visual question answering.
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