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Associate Professor at SJTU | Ex-Meta IC7 Research Scientist | Ph.D. in Physics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm a scientist whose pioneering research has been featured in world-renowned publications such as Science and Physical Review Letters. As a machine learning engineer, in the meantime, I aim to revolutionize the field with high-impact ML innovations.
Northwestern University
Doctor of Philosophy - PhD, Physics
January 1, 2010 – January 1, 2016
Tsinghua University
Bachelor of Science (BS), Physics and Mathematics
January 1, 2006 – January 1, 2010
Shanghai Jiao Tong University
Associate Professor, School of Artificial Intelligence
December 1, 2025 – Present
Shanghai, China
Meta
Senior Staff Research Scientist, Business AI Agent
September 1, 2023 – October 1, 2025
Bellevue, Washington, United States · On-site
Research Scientist, Ads Ranking, Privacy Preserved Machine Learning and Signal Growth
August 1, 2018 – August 1, 2023
Seattle, Washington
Gartner
Data Scientist, Natural Language Processing and Machine Learning
December 1, 2017 – July 1, 2018
Stamford, CT, United States
Northwestern University
Postdoctoral Researcher
September 1, 2016 – August 1, 2017
Northwestern University
Research Assistant in Department of Physics and Astronomy
September 1, 2010 – August 1, 2016
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera Course Certificates
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background spans both academia and industry, including top-tier tech companies, suggesting adaptability and a broad perspective. Their work on privacy-preserved machine learning and business AI agents aligns with current industry trends and ethical considerations. The diversity of projects, from physics simulations to NLP and recommender systems, indicates a versatile individual who can contribute to various aspects of a data-driven organization. The transition from research scientist to associate professor also shows a commitment to knowledge sharing and development.
Soft Skills & Operational Fit
The candidate's extensive experience in research and leadership roles suggests strong problem-solving, critical thinking, and collaboration skills. Their academic background and progression through senior research scientist roles at Meta/Facebook indicate a high degree of intellectual curiosity and ability to handle complex challenges. The descriptions of leading initiatives and teams point to strong operational fit for roles requiring strategic thinking and execution.