Focusing on bringing AI deeper into drug discovery workflows: building agentic knowledge-discovery systems that integrate structured data, scientific literature, and experimental outputs; advancing multimodal transformer models for molecular property prediction; and delivering transparent interfaces and reproducible data/cheminformatics pipelines that make complex AI decisions interpretable.
📍 Austin, TX · M.S. CS, Texas A&M
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| AI / ML | |
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| Frontend | |
| DevOps & Cloud | |
| Philosophy |




