- March 2024: Bill Huang successfully passed his Ph.D. dissertation defense and will join Meta as a research scientist.
- March 2023: Jiajia Yu successfully passed her Ph.D. dissertation defense and will join the math department at Duke University as a Phillip Griffiths Assistant Research Professor in fall 2023.
- September 2022: Collaborating with Dr. Chunyu Wang (RPI) for the NIH-funded project, 'Method development for simultaneous automatic assignment and structure determination in protein NMR'.
- September 2021: Collaborating with Dr. Tianyi Chen and Dr. Jie Chen (IBM Research, unpaid) for the NSF SCALE MoDL program on 'Representation Learning via Variational Mean Field Theory'.
Research Experience
- February 2025: Organizing minisympoisiums on Data Driven and Reduced Order Methods in Dynamical System in SIAM conference on APPLICATIONS OF DYNAMICAL SYSTEMS (DS25), Denver, U.S.
- October 2024: Organizing minisympoisiums on Incorporating Scientific Computing/Geometry/Optimal Transport in Machine Learning: Theory and Applications in SIAM Conference on Math of Data Science, Atlanta, 2024.
- June 2024: Organizing a workshop on 'Theory and Applications for Optimal Control and Generative Models' in Aug 2024, at Purdue University.
- May 2024: Organizing a workshop on 'Sampling, Inference and Data-Driven Physical Modeling in Scientific Machine Learning', in July, 2025, at IPAM, UCLA.
- September 2023: Co-organizing a mini-sympoisium on Optimal Transport: Computation, Applications, and Extensions with Jiajia Yu.
- July 2023: Joined Purdue University as a professor in the department of Mathematics.
- August 2022: Proposal for creation of New York-New Jersey-Pennsylvania Section of the Society for Industrial and Applied Mathematics (SIAM NYNJPA) was officially approved.
- March 2022: Organizing a minisymposium on 'Geometric Methods for Understanding and Applying Machine Learning', SIAM Conference on Imaging Science, March 2022.
- September 2021: Collaborating with Dr. Tianyi Chen and Dr. Jie Chen for the NSF SCALE MoDL program on 'Representation Learning via Variational Mean Field Theory'.
- September 2021: Organizing a workshop on 'Geometry and Learning from Data', BIRS-CMO, Oct., 2021.
Background
- Research Interests: Applied/Computational Mathematics, especially in the field of mathematical data science
- Position: Professor at Department of Mathematics, Purdue University
- Email: lai.rj@purdue.edu
Miscellany
- Continually seeking highly self-motivated students and postdocs who are interested in applied/computational mathematics.