AI & Technology Executive

David Farnham

VP of AI & Engineering at ClimateAi — building AI, forecasting, and climate-risk products, and the teams that ship them.

Fifteen-plus years turning probabilistic science and machine learning into decision-useful products across energy, climate risk, and other science-driven sectors — without ever leaving the code behind.

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About

Between the lab and the leadership table

I'm Dave — a hands-on AI and technology executive with a research foundation in climate science and engineering. For fifteen-plus years I've worked across both: publishing peer-reviewed science, then building and leading the multidisciplinary teams that turn that science into products enterprises actually use.

At ClimateAi I was promoted through four roles to VP of AI & Engineering, leading a 12-person organization spanning data science, AI/ML, software and geospatial engineering, product, and Earth sciences — while staying close to the architecture, modeling, and code. I care about responsible AI, forecasting that drives real decisions, and teams that ship and stick around.

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Presenting at the AMS Annual Meeting, 2025.
  • Applied AI / ML
  • Responsible AI & Model Governance
  • Probabilistic Forecasting & Optimization
  • Energy & Climate Risk Analytics
  • Technical Product Strategy
  • Enterprise Solutions & Technical Sales
  • Multidisciplinary Leadership
  • Full-Lifecycle Startup Leadership

Experience

Leadership & research

Industry

2025 — Present San Francisco, CA (remote)

VP of AI & Engineering

ClimateAi

Promoted through four roles: Director of Data Science (2024–25), Lead Innovation Scientist (2023–24), Senior Innovation Scientist (2021–23).

  • Lead a 12-person multidisciplinary organization across data science, AI/ML, software and geospatial engineering, product, and Earth sciences — hired nearly the entire team, with 100% voluntary retention among my hires.
  • Own technical strategy and R&D for AI/ML-driven forecasting and climate-risk products built on petabyte-scale geospatial and environmental data, while staying hands-on in architecture, modeling, and code.
  • Led technical sales and solutioning from discovery to close; helped close multiple enterprise deals and played a primary role in securing mid- and high-six-figure government contracts.
  • Converted bespoke solutions into scalable products and repeatable delivery workflows, cutting delivery times from weeks to as little as hours while supporting dozens of customers.

Research positions

2018 — 2021

Postdoctoral Research Scientist

Carnegie Science & Stanford University

  • Worked with Dr. Ken Caldeira and others on renewable-energy reliability, wind and solar variability, power-system adequacy, and weather-driven electricity demand.
2012 — 2018

Graduate Researcher

Columbia University

  • Worked with Dr. Upmanu Lall and collaborators on spatiotemporal climate and weather modeling, with applications to energy systems, water resources, infrastructure, and climate risk.

Education

2018

Ph.D., Water Resources & Climate Risk Engineering

Columbia University

Dissertation on identifying and modeling spatio-temporal patterns in high-dimensional climate and weather datasets.

2015

M.S., Water Resources & Climate Risk Engineering

Columbia University

2012

B.S., Civil Engineering

SUNY Buffalo

Summa Cum Laude · Honors College

2012

B.A., Mathematics

SUNY Buffalo

Summa Cum Laude · Honors College

Research

Selected publications

  1. The Substantial Role of Weather Data in Consumer Spending Prediction: A Robust Machine Learning Assessment

    Journal of Retailing and Consumer Services · 2026

  2. Assessing Power System Disruptions and Economic Impacts from Increasing Extreme Heat Events in Southeast Europe

    World Bank · 2024

  3. Differential Effects of Climate Change on Average and Peak Demand for Heating and Cooling Across the Contiguous USA

    Communications Earth & Environment · 2023

  4. Geophysical Constraints on the Reliability of Solar and Wind Power Worldwide

    Nature Communications · 2021

  5. Robust Adaptation to Multiscale Climate Variability

    Earth's Future · 2019

Author or co-author of 50+ publications and conference contributions, cited 1,300+ times.

In the press

Selected media & coverage

Interviewed, quoted, or featured by:

  • Bloomberg Intelligence
  • The Independent
  • WIRED
  • E&E News
  • AgTech Navigator
  • Scripps News

Contact

Let’s talk

Open to conversations about AI, forecasting, climate risk, and technical leadership. The fastest way to reach me is email.