Scholar
Jinlin Lai
Google Scholar ID: tCc0cGwAAAAJ
University of Massachusetts Amherst
Citations & Impact
Citations
50
H-index
3
i10-index
2
Publications
9
Co-authors
0
Publications
Resume (English only)
Research Experience
- Currently conducting PhD research at the University of Massachusetts Amherst, working with Professor Daniel Sheldon.
Education
- PhD student in Computer Science at the University of Massachusetts Amherst, advisor: Daniel Sheldon, expected to graduate in 2026; B.Eng. in Computer Science from Tsinghua University.
Background
- Research interests include probabilistic machine learning, computational statistics, and Bayesian inference. Recent research focuses on approximate inference methods (variational inference, Markov chain Monte Carlo, sequential Monte Carlo), probabilistic programming (especially based on Hamiltonian Monte Carlo), generative models (diffusion models, normalizing flows), and artificial intelligence for sciences (scientific simulators, computational ecology).
Co-authors