Recent Talks and Lectures:
- Bridging Non-equilibrium Simulation and Probabilistic Machine Learning
- @UCLA IPAM Sampling, Inference, and Data-Driven Physical Modeling in Scientific Machine Learning Workshop, July 2025
- @MIT Zhang’s Group (Chemistry), July 2025
- @UCB Aditi Krishnapriyan and Kranthi Mandadapu’s group (EECS and CBE), June 2025
- Accelerating Molecular Discovery from a Data-driven Computational Perspective
- @UCSD Rose Yu’s Group (Computer Science), March 2025
- @ACS Generative Modeling for Chem, Bio & Material Symposium, March 2025
- @Princeton AI^2 Research Talk Series, Jan 2025
- @UCLA Modern computation: AI + Quantum (Guest Lecture), Oct 2024
- @UT Austin Henkelman’s Group (Chemistry), Oct 2024
- @MIT Kulik’s Group (Chemical Engineering), August 2024
- @Microsoft Research AI4Science Colloquium, June 2024
- @Stanford Theoretical Chemistry Group, June 2024
- @Gatech Applied and Comp. Mathematics Seminar, April 2024
- Accelerating Transition Dynamics Simulation with Probabilistic Machine Learning
- @Cornell SCAM Seminar (Center of Applied Mathematics), March 2025
- @ACS Inferring Kinetics, Thermodynamics, and Mechanisms from Sampling Symposium, March 2025
- @ByteDance AI Lab, March 2025
- @NYU Courant Generative Model/Sampling Seminar, Nov 2024
- @UCB BIDMaP Young Scholar Seminar, Nov 2024
- @SIAM New York-New Jersey-Pennsylvania Section Annual Conference, Nov 2024
- @IAIFI Summer Workshop, August 2024
- Language Model-augmented Chemistry Optimization and Decision Programs
- @USC Melady Lab, July 2025
- @EPFL AI for Chemistry and Beyond Seminar, May 2025
- @ACS Machine Learning in Chemistry Symposium, March 2025
- FEAT: Free energy Estimators with Adaptive Transport
- @MIT-Valence Labs Learning on Graphs Reading Group, May 2025
- @MILA Sampling Reading Group, April 2025
- @ByteDance AI Lab, April 2025