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Assistant Professor at Peking University, Founder and CTO of Galbot
I am an tenure-track Assistant Professor in the Center on Frontiers of Computing Studies(CFCS) at Peking University and a research scientist at Beijing Institute for General Artificial Intelligence. Prior to joining Peking University, I received my PhD degree from Stanford University advised by Prof. Leonidas J. Guibas in 2021 and my bachelor degree from Tsinghua University in 2014. My research goal is to build an interpretable and generalizable 3D vision system for robots and autonomous agents working in complex real-world scenes. At the intersection of computer vision, robotics, and computer graphics, my research works have been devoted to designing 3D perception algorithms and developing category-level object perception with a special focus on perceiving object actionable information that supports physical interactions.
Stanford University
Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering
January 1, 2015 – January 1, 2021
Stanford University
Master of Science - MS, Electrical and Electronics Engineering
January 1, 2014 – January 1, 2017
Tsinghua University
Bachelor's Degree, Microelectronics and Nanoelectronics
January 1, 2010 – January 1, 2014
Galbot
Founder and CTO
January 1, 2024 – Present
Beijing, China · On-site
Peking University
Assistant Professor
September 1, 2021 – Present
Beijing, China
Facebook AI
Research Intern
June 1, 2019 – September 1, 2019
Menlo Park, California, United States
Student Researcher
February 1, 2019 – May 1, 2019
Mountain View, USA
Software Engineer
June 1, 2018 – September 1, 2018
San Francisco Bay Area
Stanford University
Research Assistant
September 1, 2016 – September 1, 2021
Stanford University
Research Assistant
January 1, 2015 – September 1, 2016
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research, computer vision, robotics, and AI. While these fields involve data analysis, the direct alignment with a 'Data Analyst' role, which typically focuses on business intelligence, statistical analysis, and reporting, is not explicitly demonstrated. The project diversity is limited to research, and the skills listed are primarily academic/research-oriented, which may require a significant shift in focus for a traditional data analyst position. The entrepreneurial experience as Founder and CTO could indicate a proactive and innovative mindset, but its direct relevance to cultural fit within a structured data analyst team is unclear without further context.
Soft Skills & Operational Fit
The candidate's background as an Assistant Professor and Founder/CTO suggests strong leadership, problem-solving, and independent research capabilities. However, the provided data does not offer specific insights into collaboration, communication, or stress handling in a corporate data analyst setting. The psychometric test score is 0, indicating no data for these aspects.