We have postdoc positions working on theoretical deep learning. Contact me by email or apply via [link]
We are seeking passionate and highly self-motivated Ph.D. students to join our research group. Research projects include machine learning theory and applications, data science, and scientific computing.
Please contact me by email for prospective positions.
Ling Liang [link]（Position afterward: Assistant Professor, University of Tennessee, Knoxville)
Michelle Michelle [link]（Position afterward: Assistant Professor, University of Alberta)
Ke Chen [link]（Position afterward: Assistant Professor, University of Delaware)
Yiqi Gu [link] （Position afterward: Postdoc, Hong Kong University)
Charles Richard Dziedzic (UMD)
Zhi Heng Liu (UMD)
Baicheng Li (UMD)
Di Wu (UMD)
Cameron Austin (UMD)
Minghan Yu (UMD)
Chugang Yi (UMD)
Junaid Aftab (UMD) [link]
Gareth C Hardwick (2025)
Ph.D. in the Department of Mathematics, Purdue University.
Thesis title: A Finite Expression Method for Complex Domains, Highly Oscillatory Equations and Partial Integro-Differential Equations
Position afterward: Industry
Zezheng Song (UMD) [link]
Ph.D. in the Department of Mathematics, University of Maryland College Park
Thesis title: From Instance-Specific Training to Generalizable Solvers: Advancing Machine Learning for Scientific Computing
Position afterward: Postdoc at Harvard University
Qiyuan Pang (2023) [link]
Ph.D. in the Department of Mathematics, Purdue University
Thesis title: Fast Algorithms for Matrix Computation and Applications
Position afterward: Microsoft
Ong Yong Zheng (2023) [link]
Ph.D. in the Department of Mathematics, National University of Singapore
Thesis title: Adaptive Neural Network for Discretization Invariant Operator Learning
Position afterward: Lecturer, School of Information Systems, Singapore Management University
Senwei Liang (2022) [link]
Ph.D. in the Department of Mathematics, Purdue University
Thesis title: Learning and Solving Partial Differential Equations with Deep Learning
Position afterward: Postdoc at Lawrence Berkeley National Laboratory
Shijun Zhang (2020) [link]
Ph.D. in the Department of Mathematics, National University of Singapore
Thesis title: Deep Neural Network Approximation via Function Compositions
Position afterward: Postdoc at National University of Singapore and Phillip Griffiths Assistant Research Professor at Duke University
Ze Chen (2020)
Ph.D. in the Department of Mathematics, National University of Singapore
Thesis title: Fast Matrix Vector Multiplication via Interpolative Decomposition Butterfly Factorization
Position afterward: Scientist in Shopee, Singapore
Krishna Bodla (2024)
Swapnita Sahu (2024)
M.Sc. in Data Science, University of Maryland College Park
Sneha Vellelath (2024)
M.Sc. in Applied Machine Learning, University of Maryland College Park
Lin Chen (2019)
M.Sc. in the Department of Mathematics, National University of Singapore.
Thesis title: Adversarial Encoder-Decoder for Compressed Sensing.
Position after graduation: Ph.D. in Management at INSEAD.
Yunrui Liu (2019)
M.Sc. in the Department of Mathematics, National University of Singapore.
Thesis title: Semi-supervised Learning in Imbalanced Dataset.
Position after graduation: Facebook, UK.
Linpo Guo (2019)
M.Sc. in the Department of Mathematics, National University of Singapore.
Thesis title: Width and Depth Based Graph Neural Network for Semi-Supervised Classification.
Position after graduation: Shopee, Singapore.
Fan Yang (2018)
M.Sc. in the Department of Mathematics, National University of Singapore.
Thesis title: Single Channel Audio Classification and Source Separation Using Convolutional Neural Networks.
Yurui Chen (2018)
M.Sc. in the Department of Mathematics, National University of Singapore.
Thesis title: Time-Frequency Analysis in Fetal ECG Extraction.
Position after graduation: Ph.D. in mathematics, National University of Singapore.
Tao Zhang (2018)
M.Sc. in the Department of Mathematics, National University of Singapore.
Thesis title: 3D Atomic Crystal Analysis via Fast Synchrosqueezed Transform.
Position after graduation: Ph.D. in mathematics, University of Florida.
Han Wang (2018)
M.Sc. in the Department of Mathematics, National University of Singapore.
Thesis title: Interpolation and Approximation of Computationally Expensive Posterior Density.
Position after graduation: M.Sc. in statistics at University of Pennsylvania.
Alejandro Escoto 2023 - now
B.S. at University of Maryland College Park
Rikhil Konala 2023 - now
B.S. at University of Maryland College Park
Krish Patel 2023 - now
B.S. at University of Maryland College Park
Rohan Bhatnagar 2024 - now
B.S. at University of Maryland College Park
Tara Adusumilli 2024 - now
B.S. at University of Maryland College Park
Rishabh Chheda 2024 - now
B.S. at University of Maryland College Park
FNU Maheka 2024 - now
B.S. at University of Maryland College Park
Fouad Ayoub (2025)
B.S. at University of Maryland College Park
Position after graduation: Ph.D. in Aerospace Engineering at the University of Maryland College Park.
Peter Hwang (2024)
B.S. at University of Maryland College Park
Position after graduation: work in the industry
Gengzhi Yang (2022)
B.S. at Fudan University
Position after graduation: Ph.D. in Applied Mathematics at the University of Maryland College Park.
Zhongyi Jiang (2022)
B.S. at the University of Delaware
Position after graduation: Ph.D. admission with financial support in Applied Mathematics at the University of Maryland College Park.
John Timothy Quinn (2022)
B.S. at the University of Colorado Boulder
M.S. in Applied Mathematics at the University of Colorado Boulder
Jiaheng Chen (2021)
B.S. in the Zhiyuan College, Shanghai Jiao Tong University
Position after graduation: Ph.D. in statistics, University of Chicago, US.
Wenhan Gao (2021) [link]
B.S. at The State University of New York at Stony Brook
Position after graduation: Ph.D. in mathematics, Stony Brook University, US.
Jasen Lai (2021)
B.S. at the Ohio State University
Position after graduation: Ph.D. in statistics, Purdue University, US.
Shiqin Dai (2020)
B.S. in the Department of Mathematics and Computer Science, Purdue University
Position after graduation: M.Sc. in ECE, Duke University, US.
Liyao Lv (2020)
B.S. in the Department of Mathematics, Soochow University
Position after graduation: Ph.D. in mathematics, Michigan State University, US.
Neil Sachin Palkar (2019)
B.S. in the Department of Mathematics and Computer Science, University of North Carolina, Chapel Hill
Ong Yong Zheng (2019)
B.S. in the Department of Mathematics, National University of Singapore.
Thesis title: Generative Adversarial Networks for Source Separation.
Position after graduation: Ph.D. in mathematics with Shopee Fellowship, National University of Singapore.
Yong Teck Xuan Ivan (2019)
B.S. in the Department of Mathematics, National University of Singapore.
Thesis title: Semi-Supervised Learning for Imbalanced Classification Problems.
Lee Zhi Qiang Leonard (2019)
B.S. in the Department of Mathematics, National University of Singapore.
Thesis title: Approximation Theory for Deep Learning.
Position after graduation: Ph.D. in School of Computing with Shopee Fellowship, National University of Singapore.
Seow Yaxin Claudia (2019)
B.S. in the Department of Mathematics, National University of Singapore.
Thesis title: Decentralised Deep Learning Optimisation.
Position after graduation: co-founder of NodeFlair
Xueying Guo (2019)
B.S. in the Department of Mathematics, National University of Singapore.
Thesis title: Deep Reinforcement Learning for Solving Linear Equations.
Mo Zhou (2018)
B.S. in the Department of Mathematics, Tsinghua University.
Thesis title: Advanced Mode Decomposition Algorithms in Siganl Processing.
Position after graduation: Ph.D. in mathematics at Duke University, US.
Shengtong Zhang (2018)
B.S. in the Department of Mathematics, Tsinghua University.
Thesis title: Approximation Theory of Deep Learning.
Position after graduation: Ph.D. in industrial engineering & management sciences at Northwestern University, US
Haoxuan Wang (2018)
B.S. in the Department of Mathematics, Zhejiang University.
Thesis title: Fast Algorithms for Deep Learning.
Position after graduation: Ph.D. in mathematics at National University of Singapore.
Qiyuan Pang (2018)
B.S. in the Department of Mathematics, Sun Yat-Sen University.
Thesis title: Fast Algorithms for Non-Uniform Fourier Transformation.
Position after graduation: Ph.D. in mathematics at Purdue University, US.
Department of Mathematics [link]
Department of Computer Science [link]
The Applied Mathematics & Statistics, and Scientific Computation (AMSC) graduate program [link]
Brin Mathematics Research Center [link]
University of Maryland Institute of Advanced Computer Studies [link]
Department of Mathematics [link]
Center for Computational & Applied Mathematics [link]
Integrative Data Science Initiative [link]
Center for Innovation in Control, Optimization, and Networks (ICON) [link]