Talks
Recent Talks and Lectures:
- (Incoming) Accelerating Molecular Discovery with Machine Learning: A Geometric, Sampling and Optimization Perspective, @Microsoft Research, virtual, June 2024.
- (Incoming) Accelerating Molecular Discovery with Machine Learning: A Geometric, Sampling and Optimization Perspective, @Stanford Theoretical Chemistry Group, in person, May 2024.
- Accelerating Molecular Discovery with Machine Learning: A Geometric, Sampling and Optimization Perspective, @Georgia Tech Applied and Computational Mathematics Seminar, in person, April 2024.
- Recent Advances of Machine Learning in Molecular Discovery: From Representation, Simulation to Inverse Design, @Cornell Deep Learning (SYSEN 6888), in person/virtual, Nov 2023.
- Scientific Discovery in the era of Artificial Intelligence, @Department of Computer Science, Grad Seminar, Cornell, in person, Oct 2022; @School of Integrative Plant Science (Luo Lab), Cornell, in person, Sep 2023.
- A New Perspective on Building Efficient and Expressive 3D Equivariant Graph Neural Networks, @LoGG Reading Group, virtual, May 2023; Oral Presentation @TAGML-ICML, in person, July 2023.
- Machine Learning for Molecular Discovery: From One Distribution to Two, @DP Technology, virtual, Feb 2023.
- Structure-based Drug Design with Equivariant Diffusion Models, @Department of Computational Biology (Yu Lab), Cornell, in person, Nov 2022.
- Disentangled Spatiotemporal Graph Generative Models, Oral Presentation @AAAI, virtual, Feb 2022.
- Towards Steerable and Interpretable Chemical Space Exploration, Oral Presentation @ML4Molecules, virtual, Dec 2021.