I am a research engineer interested in mathematical and computational systems. Recently, I’ve worked on AI research and quantitative finance. I completed a PhD in computer science in the Geometric Computing Lab at the Courant Institute at New York University and studied math at the University at Buffalo.
I’ve worked on problems in a variety of areas, like efficient LLM inference, ML-based chip design, large scale blood flow simulations, GPU kernel optimization, data analysis, physics-based simulation, linear algebra, geometry processing and optimization. I’m also interested in reproducibility and good engineering practices in computational science.