Activities

Professional Services

  • Journal reviewer: Numerical Algorithms (NUMA), Operations Research (OR), Neural Computation (NECO), IMA Journal on Numerical Analysis (IMAJNA), Journal of Machine Learning Research (JMLR), IEEE Journal on Selected Areas in Information Theory (JSAIT), Optimization Letters (OPTL), SIAM Journal on Control and Optimization (SICON), SIAM Journal on Numerical Analysis (SINUM), SIAM Journal on Mathematics of Data Science (SIMODS), Neurocomputing.

  • Conference reviewer & Program Committee member: NeurIPS 2018/2019/2020/2021, ICML 2019/2020, ICLR 2019/2020/2021, UAI 2019/2020/2021, AAAI 2020/2021, AISTATS 2021 (expert reviewer).

  • Mentor: New in ML forum, NeurIPS 2020.

  • Mentor: New in ML forum, NeurIPS 2019.

  • Session chair: Recent Advances in Data Efficient Reinforcement Learning with Policy Gradient Methods, 2021 INFORMS Annual Meeting, Hybrid (Virtual & Anaheim).

  • Session chair: Painless Large-Scale Optimization with (Almost) Hessian-Free Acceleration, 2020 INFORMS Annual Meeting, Virtual.

  • Session chair: Efficient Learning and Optimization in Data Mining, 2019 INFORMS Annual Meeting, Seattle.

Teaching

  • Teaching assistant: EE263, Introduction to Linear Dynamical Systems, Stanford, Fall 2019.

  • Lecturer: Convex Optimization Short Course, Fourth International Conference on Statistical Optimization and Learning, Beijing Jiaotong University, Summer 2019. [Slides] [Additional Slides]

  • Teaching assistant: EE364a, Convex Optimization I, Stanford, Spring 2017.

  • Teaching assistant: CME307/MS&E311, Optimization, Stanford, Winter 2017/2018/2019.

Internship Experience