Ryan M. Engel

I am a Ph.D. student of computer science at Stony Brook University, where I completed my B.S. and M.S. in the same department. My research lies at the intersection of artificial intelligence and computational geometry, with an interest in manifold learning.

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 6th ACM International Conference of AI in Finance.

As an undergraduate, I worked at Brookhaven National Laboratory with Dr. Gilchan Park, training LLMs for protein behavior prediction, resulting in a publication in BioNLP @ ACL 2024. I continue frequent collaboration with Brookhaven Laboratory, and am currently working on generative AI models for catalysis and materials science.