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 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 is very fascinated by Sciences and interested in developing ML tools for scientific problems, especially for new knowledge discovery. He is actively collaborating with researchers in chemistry, biology, physics, and machine learning. He maintains a slack channel for AI for Science, feel free to join and say Hi to people here!
Research Interests
- Probabilistic Machine Learning
- Geometric Deep Learning
- Interpretability (Science of AI)
- Science of Science
- Education (esp. AI for Science)
- Search, Optimization, and Sampling Problems
- AI for Science (Biology/Chemistry/Physics/Materials/Sustainability/etc)
News, Travels and Highlights! Follow me @Twitter
- 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.