Academia

Research, collaborations, and technical explorations.

Strategies to Accelerate US Coal Power Phaseout Using Contextual Retirement Vulnerabilities

In collaboration with UCSB Environmental Studies & Bren School

Coal power is now economically unviable, outpriced by renewables and burdened by rising operational costs. Our Nature Energy paper reveals how strategic, context-specific phaseouts can accelerate this transition equitably.

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Geometric Deep Learning for Drug–Target Interaction (Nucleate BioHack 2025)

Jeremy builds a DTI pipeline and wins the Novartis Challenge.

We implemented a GNN over molecular graphs, fused target encodings, and incorporated geometric features to improve binding prediction — with an interactive compound viewer and resources to reproduce.