- 😄 I am a Ph.D. Candidate and Research Assistant in the Innovatory for Cells and Neural Machines (ICAN) Lab and the Dependable Computing Systems Laboratory (DCSL) at Purdue University, advised by Prof. Somali Chaterji and Prof. Saurabh Bagchi. I also collaborate closely with Prof. Yin Li from the University of Wisconsin-Madison. My research interests include optimizing the performanc 92CB e and energy efficiency of Machine Learning Systems (MLSys) on diverse computing platforms, such as embedded GPUs, server GPUs, and AI ASIC chips. Recently, I have been working on several projects targeting performance and energy optimization for Large Language Models (LLMs) and Computer Vision (CV) applications on embedded/mobile GPUs. I am passionate about leveraging my expertise to address real-world problems, particularly through researching, developing, and deploying cutting-edge intelligent systems. My goal is to optimize latency, accuracy, and energy efficiency for intelligent computer systems, contributing to environmental sustainability.
- 🔭 I’m looking for an internship position to develop and deploy innovative Machine Learning systems in real-world applications.
- LLM Inference Optimization on AI Accelerators
- Intelligent Computer Vision System
- Performance and Energy Efficiency for MLSys on embedded/mobile devices
- Ph.D. Candidate @ Purdue University
West Lafayette2019 ~- Major: Computer Engineering
- M.S. @ Tongji University
Shanghai2014 ~ 2017- Excellent Graduate of Tongji University in 2017
- Major: Electronic Science and Technology
- Minor: Green Economy and Sustainable Development
- B.E. @ Tongji University
Shanghai2010 ~ 2014- Excellent Graduate of Tongji University in 2014
- Major: Electronic Science and Technology
- Research Assistant at Innovatory for Cells and Neural Machines at Purdue
2019 ~ - Research Assistant at Dependable Computing Systems Laboratory at Purdue
2019 ~ - Research Assistant at Purdue-WHIN IoT Infrastructure and Data Analytics Team at Purdue
2019 ~ 2022 - Research Assistant at Department of Electronic Science and Technology at Tongji
2013 ~ 2017
- Teaching Assistant at Purdue University
West LafayetteSpring 2024, 2025- ABE591: From Chips to Cloud: Machine Learning in IoT and Computer Systems (Spring 2025)
- ABE591: Machine Learning for IoT and Computer Systems (Spring 2024)
- Algorithm Engineer at ZTE Corp
Shenzhen2017 ~ 2019- Project: 5G New Radio (NR) Communication System
- Job duties: Undertook wireless communication protocol and algorithm analysis, design, implementation, and verification in both the Physical and MAC layers
- Teaching Assistant at Department of Electronic Science and Technology at Tongji University
Shanghai2014 ~ 2017- Semiconductor Physics (Fall 2016, 2015, and 2014)
- Electromagnetic Fields and Waves (Spring 2016)
- Electronics and Digital Technology (Spring 2015)
- Artifact Evaluation Committee (AEC) of MobiSys 2025
- Artifact Evaluation Committee (AEC) of SenSys 2024
- Artifact Evaluation Committee (AEC) of USENIX OSDI 2022 and ATC 2022
🌱 Fun fact: I would like to spend one year living in Antarctica if there’s any opportunity. Cannot imagine how cool it is!
