Jerry M. Huang’s research focuses on developing the next-generation methods for amortized Bayesian inference. A developer of the BayesFlow framework, he is particularly interested in using amortized Bayesian inference to learn from computational cognitive models with complex structures.
Education
- 2020 - 2025 – Ph.D., Rensselaer Polytechnic Institute (Virtual Environment and Cognitive Modeling)
- 2025 - Present – Postdoctoral Researcher, Rensselaer Polytechnic Institute (Amortized Bayesian Inference)