معرفی
Gabe Gomes is an Assistant Professor in the Departments of Chemistry and Chemical Engineering at Carnegie Mellon University (CMU). He joined CMU in 2022, leading the Gomes Group, which focuses on merging machine learning, artificial intelligence, and automated synthesis to accelerate the discovery of new chemical reactions, catalysts, and materials. Previously, he was a postdoctoral researcher at the University of Toronto under Prof. Alán Aspuru-Guzik, where he developed AI-driven methodologies for catalyst design and earned a Banting Postdoctoral Fellowship.
Education:
- Ph.D. in Chemistry, Florida State University (2018)
- B.Sc. in Chemistry, Federal University of Rio de Janeiro (2013)
Research Interests:
His work bridges quantum mechanics and machine learning to automate chemical discovery, emphasizing catalysis, energy storage, and sustainable chemistry. Key projects include developing predictive models for biocatalysts (e.g., Catnip tool) and advancing autonomous chemical experimentation systems like Coscientist. He explores how AI can enhance molecular design, reaction pathway prediction, and green chemistry innovations.
Notable Contributions:
- Co-developed Catnip, a machine learning tool predicting enzyme-substrate compatibility for biocatalysis.
- Designed Coscientist, an AI system aiding chemists in experiment planning and hypothesis generation.
- Recipient of Scialog Fellow (2023), C&EN Talented Twelve (2022), and Banting Fellowship (2020-2021).
Labs and Teams:
He leads the Gomes Group at CMU, fostering collaborations across disciplines to advance AI-driven chemistry and sustainable energy solutions.
