Talks & Teaching

Conference and seminar presentations

• (Upcoming) Invited talk Quantitative Biology 2024: Biomedical Data and AI, Peking University, July 15-17th, 2024.

• Invited talk at Drug Discovery Nexus, San Diego, May 9th 2024

• Invited talk at Microsoft Research AI4Science, Wednesday May 8th 2024

• Invited talk on NeuralPLexer at NVIDIA Clara Discovery Show & Tell, Apr. 5, 2023

• Invited talk at the ML for Protein Engineering Seminar, Mar. 21, 2023 (Presentation recording)

• Invited talk on our NeuralPLexer work as part of the Rough Path Interest Group at the Alan Turing Institute, Mar. 8, 2023

• Invited presentation at PKU CCME, Dec. 9, 2022.

• Contributed talk at NeurIPS 2022 Machine Learning in Structural Biology Workshop.

• ACS Spring 2022 - Poster and Sci-Mix Session

• Invited talk on quantum-chemistry-informed geometric learning as part of the Scientific Machine Learning Webinar Series at Carnegie Mellon University, Jan. 13, 2022

• Talk at AI in Chemical Biology: New Frontiers webinar, Mar. 17, 2021

• Contributed talk on multi-task and differentiable learning for molecular electronic structure on the ML4Molecules workshop at NeurIPS 2020, Dec. 12, 2020

  • Slides and recording at workshop website

Ph.D. Thesis Defense

• I defended my dissertation on Nov. 22, 2022. Slides for my thesis defense can be found here.

Teaching

• (TA) Ch21c Spring 2019-2020, with Prof. Jack Beauchamp
• (TA) Ch1b Winter 2019-2020, with Prof. Tom Miller
• (TA) Ch1a Fall 2019-2020, with Prof. Nathan Lewis