Experiences

Ph.D. in Electrical Engineering and Computer Sciences

University of California, Berkeley | Berkeley, CA, U.S. | Jan. 2025 - Present
GPA: 3.89/4.00 | Advisor: Prof. Pierluigi Nuzzo

Ph.D. in Ming Hsieh Department of Electrical and Computer Engineering

University of Southern California | Los Angeles, CA, U.S. | Jan. 2021 - Dec. 2024
GPA: 3.90/4.00 | Advisor: Prof. Pierluigi Nuzzo

B.E. in Microelectronic Science and Engineering

Fudan University | Shanghai, China | Aug. 2016 - Jul. 2020
GPA: 3.64/4.00 | Advisors: Prof. Jianli Chen, Prof. Bei Yu
Worked on electronic design automation (EDA)

Exchange Student

University of Sydney | Sydney, Australia | Feb. 2019 - Jun. 2019
Department of Information and Computer Engineering

EECS 144/244: Introduction to Design Automation

UC Berkeley | Jan. 2026 - Present

EECS 149/249B: Introduction to Embedded Systems

UC Berkeley | Sep. 2025 - Dec. 2025

EE 581: Mathematical Foundations for System Design

USC | Jan. 2024 - Apr. 2024

Applied Scientist Intern

Amazon Web Services | Seattle, WA, USA | May 2025 - Aug. 2025

Developed an LLM-based iterative framework that generates and refines Infrastructure-as-Code using formal verification feedback to reduce hallucinations.
Focus: Automated Reasoning

Machine Learning Research Intern

Futurewei Technologies | Jun. 2024 - Sep. 2024

Proposed a framework for hardware and mapping strategies co-optimization using single-step reinforcement learning for DNN acceleration.

Machine Learning Intern

Micron Technology | May 2023 - Aug. 2023

Designed an image segmentation model to identify functional circuit blocks on layout images for comparative analysis, achieving 90% accuracy.