Andrew Slavin Ross (he/him)

Contact
asross.github.io
andrewslavinross@gmail.com
Education
Aug 2016 - Jun 2021
Harvard University, Cambridge, MA
Aug 2007 - May 2011
Haverford College, Haverford, PA
  • B.S. in Physics with concentration in Computer Science, magna cum laude
Work
Jun 2022 - present
Arcadia, Washington, DC
  • Senior Applied Scientist
  • Led technical design and development of a linear programming-based API product to optimize battery dispatch and sizing for a given utility tariff, solar installation, and consumption profile (now delivering >100,000 results/month to production customers).
  • Led research and engineering for services predicting monthly consumption, gaps in real 15-min electricity intervals, and fully synthetic intervals for given utility meters.
  • Took significant individual initiative, winning four company-wide awards at internal hackathons for projects that served as the basis for these new products.
Aug 2021 - Jun 2022
NYU Courant, New York, NY
  • Postdoctoral Fellow
  • Researched ML approaches to parameterize subgrid-scale processes in ocean models with M2LInES.
  • Published a first-author paper on symbolic regression and an evaluation framework now actively used by others at M2LInES.
Jun 2019 - present
Climate Change AI
  • Core Team Member
  • Served as a volunteer on the core team of Climate Change AI, an organization dedicated to catalyzing impactful work at the intersection of climate change and machine learning.
  • (Meta-)reviewed numerous grant applications and papers and contributed to strategic decisions.
  • Built most of the CCAI website, including a web framework for hybrid digital/in-person workshops.
May 2018 - Aug 2019
Google, Mountain View, CA and Cambridge, MA
  • Software Engineering Intern
  • Developed Bayesian predictive caching techniques in an OLAP database powering ads reports.
  • Worked on federated learning and contributed to Tensorflow.js with PAIR at Google Brain.
Sep 2011 - Aug 2016
Vermonster, Boston, MA
Other
Programming Languages and Frameworks
  • 🐍 Python (ML-focused, including pytorch, tensorflow, sklearn, pandas, xarray, cvxpy) - see samples [1], [2], [3]
  • 💎 Ruby (Rails-focused) - see samples [1], [2], [3]
  • ☕ JavaScript (including React, Svelte, Ember, and TypeScript) - see samples [1], [2], [3], [4]
  • 🏷 HTML and CSS (numerous frameworks)
  • 🫘 Java (moderate experience, Spring-focused)
  • 🌊 C, C#, and C++ (moderate experience with each)
This document was compiled on January 6, 2025. For an up-to-date version, please visit asross.github.io/cv.