Nathan Brake

Nathan Brake is a machine learning engineer and researcher at Solventum. He focuses on designing and training deep neural networks for clinical note generation.

Nathan graduated from Grove City College in 2015 with a B.S. in electrical engineering, and from Georgia Tech in 2022 with an M.S. in computer science, with a concentration on machine learning and artificial intelligence (AI).

Nathan is passionate about AI, software engineering, and fitting together all the pieces to deliver technology that excites our customers.

He spends most of his time trying to keep up with the blazing fast pace of innovation in the natural language processing (NLP) space.