Jun 2022 - present
Arcadia, Washington, DC
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Senior Applied Scientist, Energy Analytics
- Led technical design and development of a linear programming-based API product to optimize battery dispatch for a given utility tariff, solar installation, and consumption profile (now delivering >10,000 results per month to production customers).
- Spearheaded software engineering and data science work on a service to predict both annual consumption and synthetic 15-minute-resolution intervals for a given building profile and/or utility account.
- Took significant individual initiative, winning three 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
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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.
June 2019 - present
Climate Change AI
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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 system for running hybrid digital/in-person workshops.
May 2018 - Aug 2019
Google, Mountain View, CA and Cambridge, MA
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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 LLC, Boston, MA