CV

You can download a PDF copy of my resume here.

Academic Appointments and Experience

• Jan. 2026 - Present: Advanced AI Research Scientist Manager, Accenture Center for Advanced AI
  • Working on self-evolving LLM agent training and optimization methods for improving reasoning.
• Sep. 2024 - Dec. 2025: Postdoctoral Research Scientist, Columbia University
  • Hosted by Prof. Samory Kpotufe. Research on theory of transfer learning and multi-task learning.
• May 2023 - Aug. 2023: AI Research Intern, Cruise
  • Worked on detecting and mitigating long-tailed learning problems using gradient inner products and re-weighted mini-batch SGD.
• May 2022 - Aug. 2022: AI Research Intern, Sony AI
  • Studied generalization bounds for adversarially robust domain adaptation through adversarial Rademacher complexity.

Education

• Ph.D. in Computer Science and Engineering, The Pennsylvania State University, 2024
  • Advisor: Prof. Mehrdad Mahdavi
  • Concentration: Federated learning, optimization, and learning theory
• M.S. in Computer Science and Engineering, The Pennsylvania State University, 2020
  • Transferred to the Ph.D. program
• B.E. in Communication Engineering, Soochow University, 2018

Technical Skills

• Programming: Python, C++, MATLAB, Linux, Bash, Git
• Machine learning frameworks: PyTorch, TensorFlow, JAX, Scikit-learn
• Specialties: Model personalization, multi-domain learning, transfer learning, optimization, robust and privacy-preserving machine learning

Awards

• Best AI Ph.D. Dissertation, Penn State University
• Best Student Paper, KDD 2023 FL4Data-mining Workshop

Academic Service

Reviewer for NeurIPS, ICLR, ICML, AISTATS, COLT, JMLR, TSP, TWC, and TNNLS.