05 · Biography

Mathematics, computation, and learning.

Yiping Lu is a tenure-track Assistant Professor at the Beijing International Center for Mathematical Research, Peking University. His research spans machine learning, numerical algorithms, applied probability, PDEs, and control.

The long term goal of my research is to develop a scientific discipline that combines domain knowledge, machine learning, numerical computation, and randomized experiments. I work across probability and statistics, numerical analysis, control, optimization, inverse problems, and operations research.

A recurring theme is that structure determines scalability. Differential equations, stochastic processes, operator geometry, and algebraic invariants tell us which representations and algorithms can remain stable as problems become larger or more complex.

Appointments and education

Academic path

Training in applied mathematics, scientific computing, probability, and machine learning.

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 · advised by Lexing Ying and Jose Blanchet

2015 · 2019

BS · Applied Mathematics

School of Mathematical Sciences, Peking University

Recognition

Honors and service

Selected recognition and professional service across machine learning and applied mathematics.

Awards

CPAL Rising Star Award

Conference on Parsimony and Learning, 2024.

Awards

Rising Star in Data Science

University of Chicago, 2022.

Fellowship

Stanford Interdisciplinary Graduate Fellowship

Support for interdisciplinary doctoral research, 2021 to 2024.

Editorial service

Associate Editor

Mathematics of Operations Research.

Conference service

Area Chair

Service for major machine learning conferences including ICML, NeurIPS, ICLR, and AISTATS.

Community

Scientific ML leadership

Tutorials, seminars, workshops, and interdisciplinary community building.

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