2025
Geospatial ML
Leveraging Embeddings from Geospatial Foundation Models for Annual Global Mangrove Monitoring
Using geospatial foundation-model embeddings to study changes in mangrove ecosystems.
AGU Fall Meeting · Conference abstract
Peter Sherman
I’m a climate scientist and quantitative researcher. My work spans climate dynamics, renewable energy systems, and applied machine learning, from attributing extreme weather to monitoring ecosystems with geospatial foundation models.
- Currently
- Lead Quantitative Researcher, Orlando Magic
Associate Researcher, Harvard University - Education
- PhD, Earth and Planetary Sciences
Harvard University · 2022
Selected publications
Google Scholar2025
Climate dynamics
On the Attribution of Weather Events to Climate Change Using Empirically Fit Extreme Value Distributions
Internal climate variability and statistical uncertainty can complicate attempts to attribute individual extreme events to climate change.
Journal of Climate · Journal article
2022
Climate risk
Projected global demand for air conditioning associated with extreme heat and implications for electricity grids in poorer countries
How extreme heat affects demand for air conditioning and the electricity grids needed to support it.
Energy and Buildings · Journal article
2020
Energy systems
Offshore wind: An opportunity for cost-competitive decarbonization of China’s energy economy
The cost and generating potential of offshore wind in China.
Science Advances · Journal article
Experience
Download CVNov 2025 — Present
Orlando Magic
Lead Quantitative Researcher
Nov 2022 — Present
Harvard University
Associate Researcher
Research appointments with the Harvard China Project and the Department of Earth and Planetary Sciences.
Apr 2024 — Mar 2026
Ode Partners
AI Research Engineer
Applied AI for climate and environmental projects, including retrieval-augmented generation, MCP servers, and geospatial foundation models.
Previous & additional roles
Oct 2024 — Nov 2025
Philadelphia 76ers
Data Scientist
Feb 2023 — Mar 2026
Los Angeles Dodgers
Consultant
Apr 2023 — Apr 2024
Climate Engine
Applied Climate Scientist
Climate metrics from observations and model projections to help organizations assess physical climate risk.
Nov 2022 — Apr 2023
KPMG
Senior Associate · Climate Risk Data & Analytics
Physical and transition risk analysis using CMIP climate projections and NGFS scenarios.
Feb 2022 — Nov 2022
Harvard University
Postdoctoral Research Fellow
Climate and energy research with Professor Michael McElroy and the Harvard China Project.
Sep 2021 — Nov 2022
Orlando Magic
Basketball Operations Analyst
Sep 2019 — Sep 2021
Minnesota Timberwolves
Remote Basketball Operations Analyst
Education
Harvard University
PhD, Earth and Planetary Sciences · 2022
Imperial College London
Master’s degree in Physics · 2017
Teaching
Harvard University · 2018–2022
Climate change and Earth science courses; undergraduate and high-school research supervision.
Teaching recognized by the Derek Bok Center for Teaching and Learning.