In his day job, Austin is a senior policy analyst for the White House Office of Science and Technology Policy, where he works on clean energy and transportation. He got into data science to explore how new tools can help solve our old energy challenges. Austin took data science from General Assembly in 2015 and then started as a TA. He also teaches a class on transportation and climate at Johns Hopkins University. He was a scientist in a previous life, and has a BS in Physics from Harvey Mudd College and a Ph.D. in Biophysics from Stanford University.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.