Yuanqi Du

Yuanqi Du is a CS PhD student at Cornell University, working on Artificial Intelligence with Prof. Carla P. Gomes. During the past, he spent time at AMLab at University of Amsterdam advised by Prof. Max Welling and DP Technology supervised by Dr. Linfeng Zhang. He also spent time at Microsoft Research Asia, Machine Learning group. He is a passionate community builder, which he founded the series of AI for Science workshops, co-founded a new Learning on Graphs conference, led an initiative AI for Science 101 building knowledge systems for AI for Science. He received Bachelor’s degree in Computer Science from George Mason University in 2021. He maintains a slack channel for AI for Science, feel free to join and say Hi to people here!

Research Interests

• Computational Process: take a computational standpoint to understand matters and processes, examine computational trade-offs, and project abstract computational processes to real-world phenomena.
• Natural and Social Process: draw inspiration from natural and social processes to uncover their computational nature, and disclose the underlying computational principles that govern complex systems.
• Structure and Geometry: study the structure, emergent behavior, pattern and geometry of the world.
• Sampling, Optimization and Search: explore the interconnected problems of sampling, optimization, and search, which are essentially about exploring vast search spaces efficiently but with different tools and perspectives.
• Interpretability, Control, Reasoning, Planning and Inference: understand the extent to which we can interact with and interpret phenomena, and how we can exert control, reason, plan, and inference about them.
• AI for Science: accelerate the molecular discovery workflow including molecular design, synthesis, simulation and chemical reaction.
• Society Impact: assess the society impact of AI and long-term effect of AI to scientific discovery and human knwoledge system.

Research Opportunities I appreciate mentorships I received from people in different seniority and I am happy to give back. If you have any questions you would like to discuss, please feel free to reach out! I may also have research opportunities available at different times. If you are interested, please include your area of interest, past experience, and why you would like to work with me. I value curiosity, passion and commitment as essential qualities.

News, Travels and Highlights! Follow me @Twitter

• Upcoming! We are organizing LoG meetups at New York in November and Seattle in December!
• 3/24 I wrote a short blog post to share some personal lessons, experienecs and thoughts about organizing academic events and community building.
• 3/24 We are organizing the new AI for Science edition (Scaling in AI for Scientific Discovery) and Structured Probabilsitic Inference and Generative Modeling workshops with ICML 2024!
• 2/24 We are organizing an AI for Science Seminar (livestreaming, free-to-attend for all and physically at Cornell)! Schedule, Zoom link, Recordings
• 1/24 We released a blog AI for Science in 2023: A Community Primer to highlight some progress and trends in the broad AI for Science community, check it out!
• AI for Science101 is an educational initative with community contributed series of blogs and short tutorials for broad topics in the intersection of AI and Science.