Bio

I am a Master's student in Computer Science at Columbia University. I received my Bachelor's in Mathematics and Computer Science from the University of California, Los Angeles. My research interests lie in methods for generative modeling, building faster, more controllable, and more reliable generative models, and generative models for science, leveraging generative models to dramatically accelerate the pace of scientific progress.

I'm grateful to have been advised during my undergrad by Prof. Kim-Lien Nguyen on machine learning for MR physics at the Cardiovascular Imaging Research Lab at the David Geffen School of Medicine, where I worked on k-space (the Fourier, or spectral, domain) reconstruction across two directions: physics-informed reconstruction and 5D MRI reconstruction. I was also fortunate to work with Prof. Yuchen Cui on zero shot imitation learning at the Robotic Intelligence Lab. My research was funded by the James T. Henry and Meredith Henry UCLA Undergraduate Research Scholarship. I have previously worked at AWS Athena, Amazon Leo, Leidos AI/ML Research Accelerator, Scale AI, and Q.ai (Acquired by Apple).