Jerry M. Huang’s postdoctoral research focuses on next-generation methods for amortized Bayesian inference with generative AI. A developer of the BayesFlow framework, he is particularly interested in Bayesian inference and deep learning and their applications in computational models of cognition.
Education
- 2020 - 2025 – Ph.D., Rensselaer Polytechnic Institute (Virtual Environment and Cognitive Modeling)
- 2025 - Present – Postdoctoral Researcher, Rensselaer Polytechnic Institute (Amortized Bayesian Inference and Cognitive Modeling)