Atlas Wang XTX Markets Research Director
QuantVision 2026: Fordham’s Quantitative Conference
Atlas Wang is a distinguished researcher, professor, and AI expert specializing in computer vision, machine learning, and optimization. He has made significant contributions to the fields of artificial intelligence and deep learning, with experience spanning academia, industry, and applied research.
Education
- Doctor of Philosophy in Electrical and Computer Engineering
- University of Illinois Urbana-Champaign (2012 – 2016)
- Bachelor of Engineering in Electronic Engineering and Information Science
- University of Science and Technology of China (2008 – 2012)
Academic and Research Career
Atlas Wang has held prestigious faculty positions at top U.S. universities.
- The University of Texas at Austin (2020 – Present)
- Associate Professor, Temple Foundation Endowed Number 7 (On leave since May 2024)
- Assistant Professor, Jack Kilby/Texas Instruments Endowed
- Received tenure promotion in 2023
- Affiliated with UT ECE, CS, and the Oden Institute
- Texas A&M University (2017 – 2020), Assistant Professor
- University of Washington (2017), Research Scientist
Industry Roles and Contributions
Atlas Wang has been actively involved in AI-driven innovation and research leadership in both academia and industry.
- Research Director, XTX Markets (2024 – Present)
- Heads XTY AI Labs at XTX Markets, leading advancements in AI research for quantitative trading.
- Director of AI Research and Technology, Picsart (2022 – 2024)
- Focused on generative AI and machine learning applications in creative technology.
- Visiting Researcher, Amazon (2021 – 2022)
- Worked on cutting-edge AI and optimization algorithms.
Expertise and Research Interests
Atlas Wang’s expertise spans multiple AI and machine learning domains, including:
- Computer Vision
- Deep Learning and Optimization
- Artificial Intelligence Applications
- Machine Learning and Generative Models
His contributions to AI research, academic mentorship, and industry applications have solidified his reputation as a leading figure in modern artificial intelligence.
