Andrew Ross

Andrew Slavin Ross is a data scientist specializing in machine learning and climate change. He currently works at Antora, focusing on optimizing scheduling decisions for large-scale thermal batteries. He is a core member of Climate Change AI and has previously worked at Arcadia on data science and software development. He also completed postdoctoral research on machine learning for climate modeling at New York University with Laure Zanna. Andrew earned his PhD at Harvard University under the guidance of Finale Doshi-Velez, focusing on interpretable machine learning. Additionally, he has experience developing software at Vermonster. His research interests include interpretable machine learning, adversarial machine learning, and applications in climate modeling.

• 2023–Present·Antora·Data Scientist
  • Focused on optimizing scheduling decisions for large-scale thermal batteries.
• Postdoctoral Research | New York University | Researcher
  • Conducted machine learning research for climate modeling in collaboration with Laure Zanna.
• Doctoral Research | Harvard University | Researcher
  • Focused on interpretable machine learning in collaboration with Finale Doshi-Velez.
• Early Career | Vermonster | Software Developer
  • Developed a variety of software projects.

• 2010–2017·Harvard University·PhD
  • Focused on interpretable machine learning.
• Undergraduate and Master's | Details Unavailable
  • Specific information not disclosed.