Rongjie Lai
Professor
Office: MATH 414
Email: lairj at purdue dot edu
Student/Postdoc Positions: We are continually seeking highly self-motivated students and postdocs who are interested in applied/computational mathematics, especially in the field of mathematical data science.
For students: Please email me if you are interested in joining the group.
For postdoc positions: apply through mathjob for Golomb Visiting Assistant Professorship or Postdoc Fellowship and email me.
Recent News:
03/2024: Bill Huang has successfully passed his Ph.D. dissertation defense. Congratulations, Dr. Bill Huang!
09/2023: The first annual meeting of SIAM-NNP will be held at NJIT in Oct. Welcome to join us! Meanwhile, Jiajia Yu and I also co-organize a mini-sympoisium on Optimal Transport: Computation, Applications, and Extensions.
07/2023: I am thrilled to annouce that I have joined Purdue University as a professor in the department of Mathematics. I am grateful for all the valuable experiences I gained during my time at RPI and I'm looking forward to embarking on this new journey at Purdue.
03/2023: Jiajia Yu has successfully passed her Ph.D. dissertation defense. She will join the math department at Duke University as a Phillip Griffiths Assistant Research Professor in fall 2023. Congratulations, Dr. Jiajia Yu!
9/2022: I am excited to collaborate with Dr. Chunyu Wang (RPI) for the NIH-funded project, "Method development for simultaneous automatic assignment and structure determination in protein NMR".
08/2022: Our proposal for creation of New York-New Jersey-Pennsylvania Section of the Society for Industrial and Applied Mathematics (SIAM NYNJPA) has been officially approved.
03/2022: Together with Stefan Schoshenck (UC Davis) and Alex Cloninger (UCSD), we organize a minisymposium on "Geometric Methods for Understanding and Applying Machine Learning", SIAM Conference on Imaging Science, March 2022.
09/2021: I am excited to collaborate with Dr. Tianyi Chen (RPI) and Dr. Jie Chen (IBM Research, unpaid) for the NSF SCALE MoDL program on "Representation Learning via Variational Mean Field Theory".
09/2021: Together with Pablo Suárez Serrato (Universidad Nacional Autónoma de México), Minh Ha Quang (RIKEN), and Guido Montúfar (UCLA), we organize a workshop on "Geometry and Learning from Data", BIRS-CMO, Oct., 2021.
Upcoming events:
Sampling, Inference and Data-Driven Physical Modeling in Scientific Machine Learning, IPAM, Jan, 2025.
SIAM Conference on Mathematics of Data Science, Oct. 2024.
Applied and Computational Math seminar, Georgia Tech, Oct, 2024.
Plenary talk, International Congress of Basic Science, Beijing, July, 2024.
Minisymposium in SIAM Conference on Imaging Science, Atlanta, May, 2024.
Computational and Applied Mathematics Colloquium, Penn State University, April, 2024.
AMS 2024 Spring Eastern Sectional Meeting, Washington DC, April, 2024.
PDEs and Geometry: Numerical Aspects, ICERM, March, 2024
CCAM seminar, Purdue University, Feb, 2024
Math colloquium, University of Minnesota, Feb, 2024.