Dan Goodwin

Daniel received his BS in Engineering from Harvey Mudd College, his MS in Electrical Engineering from Stanford and his PhD from MIT. He had prior industrial experience in software engineering and product design, as well as neuroscience research with Sebastian Seung at the Simons Center for Data Analysis. His interests, while in the lab, were in Big Neuroscience – helping to build scalable tools and platforms that could help scientists understand the brain from the perspective of 1 to 1,000,000,000 neurons. He then went on to co-found a nonprofit developing the social, intellectual, and funding infrastructure needed for climate biotech to become as productive as more mature fields such as medical biotech and machine learning.