Short Bio

Ari is a PhD student working on geometric deep learning and generative modeling for molecules. He earned a BEng in Computer Science from the University of Edinburgh and an MSc from KAIST. He has carried out research at EPFL and École Polytechnique on geometry-driven molecular representations and generative methods.

Research Interests

In the wake of AlphaFold, a rainbow of tasks have been reignited, and of particular interest to Ari is the elucidation of conformational and binding ensembles. Finding scalable ways to model ensembles in larger systems would yield diverse, physically plausible states for flexible proteins, rare events, and intrinsically disordered regions. While still a nascent field, learning ensemble emulators for large biomolecular systems would have a twofold boon: improving co-folding and enabling ensemble-based drug design and related tasks that depend on functional descriptions.