Education

• Ph.D in Computer Science, University California, Riverside, 2023
• M.S. in Chemistry, Duke University, 2018
• B.S. in Chemistry, University of Science and Technology of China, 2016

Work experience

• Summer 2022: Deep Learning Library Performance Software Engineer intern @ NVIDIA
  • Engineering intern with the Fast Kernels team.
  • CUTLASS-related developments.
  • Returning as a full-time employee.
• Spring 2022: PhD Research intern @ TikTok
  • Research intern with the AML-MLsys team.
  • GPU-accelerated Machine Learning systems.
  • A co-first-author research paper at IPDPS’23, best paper finalist.
• Summer 2021: GPU Compute and Deep Learning Software Engineer intern @ Intel
  • Engineering intern with the XPU Architecture Research team.
  • GPU-accelerated Homomorphic Encryption under the CKKS scheme.
  • A first-author research paper at IPDPS’22.

Skills

• CUDA, DPC++, SYCL, x86 assembly, SIMD, OpenMP, MPI.

Awards

• Outstanding Teaching Assistant Award, University of California, Riverside, 2020,2021,2022
• Distinguished Dean’s Fellowship, University of California, Riverside, 2018
• Outstanding Teaching Assistant Award, Univ of Sci and Tech of China, 2016
• Outstanding Undergraduate Award, Univ of Sci and Tech of China, 2015
• Lan-Ying Lin Fellowship, Univ of Sci and Tech of China, 2014
• Xue-Zhou Wu Fellowship, Univ of Sci and Tech of China, 2013
• Outstanding Freshmen Award, Univ of Sci and Tech of China, 2012
• Silver Medal, Chinese Chemistry Olympiad (CChO), 2011