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yuanqidu · Dec 7, 2024 · 445e72c · 445e72c
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-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*](https://ai4sciencecommunity.github.io/), co-founded a new [*Learning on Graphs conference*](https://logconference.github.io/), led an initiative [*AI for Science 101*](https://ai4science101.github.io/) 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](https://join.slack.com/t/aiforscience/shared_invite/zt-1bdof1jmf-YtIjkUVA5DquXguEiOXGPQ)!
+Yuanqi Du is a CS PhD student at Cornell University, working on the intersection of AI and Science, advised by Prof. Carla P. Gomes. In 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*](https://ai4sciencecommunity.github.io/), co-founded the [*Learning on Graphs conference*](https://logconference.github.io/), and led an initiative [*AI for Science 101*](https://ai4science101.github.io/) 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](https://join.slack.com/t/aiforscience/shared_invite/zt-1bdof1jmf-YtIjkUVA5DquXguEiOXGPQ)!
 
 <!-- He is very fascinated by Science and interested in developing ML tools for scientific problems, especially for new knowledge discovery. On the other side, as a computer sciencist, he is devoted to understanding the world through a computational perspective. He is actively collaborating with researchers in applied mathematics, chemistry, biology, physics, and computer science. He maintains a slack channel for AI for Science, feel free to join and say Hi to people [here](https://join.slack.com/t/aiforscience/shared_invite/zt-1bdof1jmf-YtIjkUVA5DquXguEiOXGPQ)! -->
 
 ## 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.
+  * ***Probabilistic Machine Learning***: Generative Models, Optimal Transport, Stochastic Control, Sampling 
+  * ***Structure and Geometry***: Neural Architectures (e.g. Graphs and Sets), Equivariance, Symmetry, Tensor Networks
+  * ***AI for Science***: Molecular Design, Molecular Simulation, Chemical Reaction and Synthesis
+
+Additional topics I am interested in include: (Mechanistic) Interpretability, Science of Science, and Societal Impact of AI.
+  <!-- * ***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.
+  * ***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.