CPAL Rising Star Award
Conference on Parsimony and Learning, 2024.
05 · Biography
CV
Appointments and education
Academic path
2026 · Present
Assistant Professor · Beijing International Center for Mathematical Research
Peking University
2024 · 2026
Assistant Professor · Industrial Engineering and Management Sciences
Northwestern University, with a courtesy appointment in Engineering Sciences and Applied Mathematics
2023 · 2024
Courant Instructor · Courant Institute of Mathematical Sciences
New York University
2019 · 2023
PhD · Computational and Mathematical Engineering
Stanford University · Advisors: Lexing Ying, Jose Blanchet
2015 · 2019
BS · Applied Mathematics
School of Mathematical Sciences, Peking University · Advisors: Bin Dong, Liwei Wang
Recognition
Honors and service
Rising Star in Data Science
University of Chicago, 2022.
Stanford Interdisciplinary Graduate Fellowship
Support for interdisciplinary doctoral research, 2021 to 2024.
Associate Editor
Mathematics of Operations Research.
Area Chair
Service for major machine learning conferences including ICML, NeurIPS, ICLR, and AISTATS.
Academic talks
Selected talks and tutorials
University of Minnesota · IMA
Data Science Seminar
Time Scaling via Stochastic Simulation: Guidance, Correction and Sequential Monte Carlo
Minneapolis, USA · hybrid
University of California, Riverside
PDE & Applied Mathematics Seminar
Scaling Scientific Machine Learning: Integrating Theory and Numerics in Both Training and Inference
Riverside, USA · online
Institute for Mathematical and Statistical Innovation (IMSI)
Statistical and Computational Challenges in Probabilistic Scientific Machine Learning (SciML)
Two Tales, One Resolution: Physics-Informed Inference Time Scaling and Precondition
Chicago, USA
Institute for Mathematical and Statistical Innovation (IMSI)
Uncertainty Quantification and Machine Learning for Complex Physical Systems
Two Tales, One Resolution: Physics-Informed Inference Time Scaling and Precondition
Chicago, USA
University of Utah
Applied Mathematics Seminar
Two Tales, One Resolution: Physics-Informed Test Time Scaling and Precondition
Salt Lake City, USA
SNAPP Seminar
Seminars on New Advances in Applied Probability
Using Stochastic Simulation to Calibrate Machine Learning
Online seminar
Georgia Institute of Technology
ISyE Statistics Seminar
Simulation-Calibrated Scientific Machine Learning
Atlanta, USA
AAAI 2024
Conference tutorial
Recent Advances in Physics-Informed Machine Learning
Vancouver, Canada · Vancouver Convention Centre
Columbia University
Applied Mathematics Colloquium
Simulation-Calibrated Scientific Machine Learning
New York, USA
New York University · Courant Institute
Computational Mathematics and Scientific Computing Seminar
Machine Learning for Differential Equation Modeling: Statistics and Computation
New York, USA · Warren Weaver Hall
University of Chicago · Data Science Institute
Rising Stars in Data Science Workshop
Machine Learning for Differential Equations: Statistics, Optimization and Multilevel Learning
Chicago, USA
Join the research group
Students and postdocs
I am actively recruiting undergraduate students, graduate students, and postdocs to join my research group. Interested candidates are encouraged to email yipinglu [at] bicmr.pku.edu.cn.
In your message, briefly describe your background, the questions you want to work on, and one research direction from this site that genuinely interests you.
Email Yiping