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Bio

Hector Garcia Martin was born in Bilbao, part of the Basque region in Spain. Hector studied physics and specialized in solid state physics at the University of the Basque Country. He obtained his Ph. D in condensed matter physics from the University of Illinois at Urbana-Champaign, where he studied Bose Einstein Condensates and scaling laws in ecology. His interest in using theoretical physics tools to make biology predictable led him to join the Department of Energy Joint Genome Institute, where he worked on studying microbial communities through metagenomics as a postdoctoral fellow. Seeking the opportunity to improve predictive models in biology through synthetic biology, he has worked at Berkeley Lab, as part of the Joint BioEnergy Institute and the Agile BioFoundry programs for the last sixteen years. In his current role, he has developed a variety of methods to make synthetic biology a more predictive discipline, by combining machine learning approaches with mechanistic models, microfluidics and genetic editing techniques.

Please find more details at his website: hectorgarciamartin.com