- 😄 I am a Ph.D. Candidate in the Elmore Family School of Electrical and Computer Engineering at Purdue University. My research focuses on optimizing the performance and energy efficiency of Machine Learning Systems (MLSys) across diverse computing platforms, including embedded GPUs, server GPUs, and AI accelerators. I specialize in performance and energy optimization for Vision-Language Models (VLMs), Large Language Models (LLMs), and Computer Vision applications. I am passionate about leveraging my expertise to address real-world challenges through researching, developing, and deploying cutting-edge intelligent systems. My goal is to optimize latency, accuracy, and energy efficiency for intelligent computing systems while contributing to environmental sustainability.
🚀 Actively seeking 2026 Summer or Fall full-time opportunities as Machine Learning Engineer or Research Scientist focused on ML systems optimization and efficient inference for vision & language models.
- Resilient and Adaptive VLM
- Resource-Efficient VLM/LLM Inference
- Machine Learning Systems (MLSys)
- Ph.D. Candidate @ Purdue University
West Lafayette2019 ~ Now- Major: Electrical and Computer Engineering
- Advisor: Prof. Somali Chaterji, Prof. Saurabh Bagchi
- M.S. @ Tongji University
Shanghai2014 ~ 2017- Excellent Graduate of Tongji University in 2017
- Major: Electronic Science and Technology, Minor: Green Economy and Sustainable Development
- Advisor: Prof. Meisong Tong
- B.E. @ Tongji University
Shanghai2010 ~ 2014- Excellent Graduate of Tongji University in 2014
- Major: Electronic Science and Technology
- Advisor: Prof. Meisong Tong
🌱 Fun fact: I would like to spend one year living in Antarctica if there’s any opportunity. Cannot imagine how cool it is!