I am driven by curiosity and a desire to build things that matter. My research and engineering focus on Artificial Intelligence, Machine Learning in Healthcare, Biomedical Data Science, and Biomedical Informatics.
I like to operate at the intersection of research and industry, striving to develop epoch-making technology.
Leading genomic-LLM evaluation research under a highly competitive (25% acceptance) RSCA grant.
Built ML-driven maintenance & forecasting pipelines that cut downtime 80% and energy costs 50%.
Fine-tuned YOLO wafer-detection models achieving 0.1% FN and boosting synthetic-data throughput 30%.
Led predictive-maintenance analytics for dental milling machines, driving US$1–3M annual revenue.
Developed contrastive models for AMD risk and co-authored early generative-AI biomedicine paper.
Optimized logistic zoning & order batching, boosting delivery-network efficiency 5×.
Created Python library for synthetic-control causal analysis to streamline clinical research studies.
