Ryan M. Engel

I am a Ph.D. student in computer science at Stony Brook University, where I also completed my B.S. and M.S. in the same department. My research interests lie at the intersection of artificial intelligence and computational geometry, with a focus on manifold learning and generative modeling. My master's thesis focused on scalable conditional autoencoders for portfolio optimization, advised by Professor Pawel Polak and Professor Yifan Sun. This resulted in a publication and oral presentation at the ACM International Conference of AI in Finance 2025 Conference. As an undergraduate, I worked at Brookhaven National Laboratory with Dr. Gilchan Park on training LLMs for protein behavior prediction, resulting in a publication in BioNLP @ ACL 2024.