Mark is Balance’s Lead Data Scientist. He has more than six years practicing as both a Data Scientist and Data Science Instructor with a focus on ecological modeling and ecosystem regeneration. Mark has collaborated with Balance hydrologists to develop climate aware models for evaluating restoration efforts in California watersheds, train predictive models on flooding events at Bay Area gauging sites, and consolidate decades of historical data for easier analysis.
Mark continues a lifelong vocation of applying scientific knowledge and methodologies to confronting climate change. At Balance, Mark provides internal support for data reporting and has developed data modeling projects with colleagues and clients.
Mark graduated with a PhD research in Materials Science & Engineering from UC San Diego and a Bachelor’s of Science in Engineering Physics from UC Berkeley studying carbon capture and conversion methods with renewable energy. Mark transitioned to Data Science in 2017 and an instructor at Galvanize Data Science Immersive in 2018 was a founding instructor at the Los Angeles campus in 2020.