Bio
I am interested in the intersection between computer graphics (CG), large language model (LLM) and scientific machine learning (Sci-ML). Specifically, my goal is to adapt and customize state-of-the-art deep learning methodologies to solve challenging scientific problems.
Positions Held
- Worked on an algorithm to reduce the firm’s value-at-risk (VaR) exposure using minimal number of hedges.
- Developed uncertainty quantification methods for GenAI based report generation.