Daniel Schwalbe-Koda (Daniel)

Currently - PhD student, MIT
2017 - MSc, Physics, Instituto Tecnológico de Aeronáutica, Brazil
2017 - BSc, Electrical Engineering, Instituto Tecnológico de Aeronáutica, Brazil

Research Interests 

Deep learning, generative models, graph theory, catalysis, zeolites.


Daniel graduated in Electrical Engineering (BSc, 2017) and Physics (MSc, 2017) at Instituto Tecnológico de Aeronáutica. He currently is a PhD student in the Department of Materials Science and Engineering at MIT, working with graph theory and machine learning applied to zeolite structures for catalysis.


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