Senior Machine Learning Research Scientist at Pfizer
Research interests focus on representation learning for molecular structures, including drug compounds and proteins
Combines deep learning methods (e.g., RNNs, GNNs) with generative learning algorithms to sample novel molecules
Particularly interested in transport-based generative models such as Energy-Based Models, Diffusion, and Stochastic Interpolants for 3D molecule generation
Develops methods that respect physical symmetries in both supervised and unsupervised learning settings
Enhances software engineering skills through interdisciplinary collaborations to translate research into practical implementations