
Rafael Gómez Bombarelli
Chief Scientific Officer, Physical Sciences; co-founder @ Lila Sciences
About
Using deep learning and high throughput simulations to discover next generation materials for energy, sustainability and therapeutics.
United States
Cambridge
Higher Education
-
Experience

Chief Learning Officer
ZebiAI Therapeutics

Postdoctoral Fellow
Cambridge, MA
Computationally-driven discovery of novel organic materials. Computational chemist in High-Throughput Virtual Screening projects searching for OLED emitters and organic electrolytes for flow batteries. Responsibilities include research, experimental design, software development (python), writing (reports, grant proposals, articles), mentoring. Conduct research using quantum chemical methods (DFT, TD-DFT, semiempirical and wavefunction), together with chemoinformatics to cull millions of molecules to find a few promising candidates.
Rafael Gómez Bombarelli's Contact Information
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