Ryan Engel
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Biography
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. Broadly, my interests are Machine Learning, Computational Geometry, and Quantitative Finance. As an undergraduate, I worked at Brookhaven National Laboratory with Dr. Gilchan Park on LLMs for protein behavior prediction, resulting in a publication at BioNLP @ ACL 2024. My master's thesis focused on foundation models for asset pricing and portfolio optimization, under the guidance of Professors Pawel Polak and Yifan Sun, resulting in published work at ACM ICAIF 2025. My Ph.D. research explores the applications of computational conformal geometry in generative modeling, advised by Xianfeng David Gu.
Work Experience
Publications
Scaling Conditional Autoencoders for Portfolio Optimization via Uncertainty-Aware Factor Selection
ACM International Conference on AI in Finance (ICAIF), November 2025
ACM ICAIF 2025
Publication Link
Evaluating Large Language Models for Predicting Protein Behavior under Radiation Exposure and Disease Conditions
BioNLP Workshop at ACL Conference, August 2024
ACL BioNLP 2024
Publication Link