I turn complex problems into clear, data-driven decisions.

I recently graduated from Columbia University with a Master's in Operations Research & Analytics. My work sits at the intersection of quantitative finance, machine learning, and data-driven strategy.
I've built things with Apple, NIH, NYGC, and UC Davis. Right now, I'm focused on financial modeling and applying mathematical models to market-oriented problems.
MS Operations Research & Financial Engineering
BS Mathematical Analytics & Statistics — magna cum laude
Interactive forecasting, risk metrics, and portfolio analysis.
GAN-based image generation from natural language prompts.
Protein-ligand binding affinity with Graph Neural Networks.
Discrete optimization approach to image segmentation.
Medical image segmentation pipeline using PyTorch.
Risk metrics, portfolio returns, and technical indicators.