Biography

I am a Senior Project Scientist at the Machine Learning Department at CMU working with Eric Xing. I obtained my Ph.D. from CS at the UWisconsin-Madison, advised by Dimitris Papailiopoulos.

My research studies the scalability and efficiency of machine learning algorithms and systems (especially for LLMs now). Here a copy of my CV.

I received the the Rising Star Award of the 2024 CPAL Conference!

I am currently on the academic job market, applying for Assistant Professor positions in CS, ECE, and Data/Information Science. My statements are here:
[Research Statement], [Teaching Statement], [Diversity Statement]
Please feel free to reach out!

Open-source Projects

  • LLM360: An initiative to fully open-source LLMs, which advocates for all training code and data, model checkpoints, and intermediate results to be made available.

Grants

  • NSF IIS2311990 (Senior Personnel/Co-Investigator, PI: Eric P. Xing) “III: Small: Multiple Device Collaborative Learning in Real Heterogeneous and Dynamic Environments”, 09/01/2023-08/31/2026.
  • Semiconductor Research Corp. Artificial Intelligence Hardware Program (Project Co-lead, PI: Eric P. Xing) “Co-designing Distributed ML Systems and Algorithms for Foundation Models for AI-for-Science”, 01/01/2024-12/31/2026.

Services

PC Member:
DAC 2024, EuroSys 2024, SOSP 2023 (light PC), MLSys 2023-24, MLSys 2022 (Artifact Evaluation Committee), SIGKDD 2022, AAAI 2021-2022.
Reviewer:
Journal:
JMLR, TMLR, IEEE TNNLS, IEEE IoT-J.
Conference:
ICML 2019-23 (top reviewer of ICML 2020), NeurIPS 2019-23 (top reviewer of NeurIPS 2019), CVPR 2021-23, ICCV 2021-22, ICLR 2021-24, AAAI 2021-24, SIGKDD 2022-23.