Experience

Professional Experience

Founding Member of Technical Staff
Palo Alto, USA · Jan. 2026 – Present
  • Leading EigenData, a self-evolving multi-agent platform for function-calling data synthesis and quality assurance
  • Building EigenLoop, a full post-training pipeline (SFT, GRPO/RL, evaluation) for production agentic AI systems
Meta (MSL)
Research Scientist
Menlo Park, USA · Mar. 2025 – Jan. 2026
  • Built agentic synthetic data generation pipeline with verified tasks and LLM-as-judge for agentic RL in TBD agent workstream
  • Led agentic post-training that improved Llama 4 Maverick's BFCL function-calling performance from ~50 to 72
Applied Scientist
Palo Alto, USA · May 2024 – Mar. 2025
  • Improved LLM reasoning for modeling customer shopping behaviors and personalized recommendation
Research Intern
Seattle, USA · May 2023 – Aug. 2023
  • Developed Skills-in-Context Prompting for compositional reasoning in LLMs (EMNLP 2024)
Applied Scientist Intern
Santa Clara, USA · June 2022 – Jan. 2023
  • Parameter-efficient fine-tuning design spaces (ICLR 2023); Diffusion language model (EMNLP 2023)
Research Intern, Mosaic Team
Seattle, USA · June 2021 – Sep. 2021
  • Compositional data augmentation for commonsense QA with Yejin Choi's group
Researcher, Dynamics 365 AI
Seattle, USA · Dec. 2020 – May 2021
  • Created HiddenCut (ACL 2021) and Mixture of Virtual Prompts for efficient fine-tuning
Georgia Institute of Technology / Stanford University
Research Assistant
Aug. 2019 – May 2024
  • Advisor: Prof. Diyi Yang. Published 20+ first-author papers at NeurIPS, ICLR, EMNLP, ACL, NAACL
Carnegie Mellon University
Research Intern
Sep. 2018 – Mar. 2019
  • Advised by Prof. Robert Kraut
UC Davis
Visiting Researcher
Jun. 2018 – Aug. 2018
  • Working with Prof. Zhou Yu

Education

Ph.D. in Computer Science, Georgia Institute of Technology / Stanford University, Aug. 2019 – May 2024
Advisor: Prof. Diyi Yang

B.Eng. in Computer Science and Technology, Zhejiang University, Sep. 2015 – Jul. 2019
Minor in Advanced Honor Class of Engineering Education, Chu Kochen Honors College (40/6,000)

Teaching & Advising

Teaching Assistant, NLP (CS-4650/7650), Georgia Tech, with Prof. Mark Riedl, Spring 2023

Teaching Assistant, NLP (CS-4650/7650), Georgia Tech, with Prof. Diyi Yang, Spring 2020

Teaching Assistant, Computer Organization, Zhejiang University, Spring 2018

Advised Master's Students: Aaron Reich, Aastha Agrawal, Yufan Huang, Kunal Chawla, Nikhil Gupta (2020–2022)

Advised Undergraduate Students: Zhehao Zhang, Siru Ouyang, Mohan Dodda, Wenna Qin, Kexun Zhang, and others (2019–2024)

Co-advised students published at ACL, EMNLP, NeurIPS, and SIGIR

Professional Service

Area Chair: ARR 2025 (April, October)

Program Committee / Reviewer: ACL (2021–2024), EMNLP (2020–2024), NAACL 2021, ICLR (2022–2023), NeurIPS 2025, ICML 2025, CHI 2023, UIST 2022, WWW 2021, AAAI (2020–2021), IJHCI 2023

Conference Volunteer: ACL 2020

Organizer: Georgia Tech NLP Seminar (2019–2021)

Selected Awards & Honors

Outstanding Undergraduate Thesis, Zhejiang University, 2019

Honorable Mention, MCM/ICM Mathematical Contest in Modeling, 2017

Academic Physics Contest, Zhejiang University, fourth place, 2017

ACEE Honor Class, Chu Kochen Honors College, Zhejiang University (40/6,000), 2016

Scholarship for Academic Achievement, Zhejiang University, 2016

Scholarship for All-around Achievement, Zhejiang University, 2016

ACM School Trial, Zhejiang University, third prize, 2016