Daniel Gilford
Climate Scientist
Orlando, Florida, United States
Summary
👤
Senior🎓
Top SchoolDaniel Gilford is a Climate Scientist at Climate Central with eight years of experience studying sea level rise, extreme weather, and climate attribution, drawing on a PhD in Atmospheric Science from MIT and a postdoc at Rutgers. He blends rigorous research on tropical cyclones, ice-sheet contributions to sea level, and tropopause dynamics with a passion for science communication and coastal risk adaptation. Based in Orlando, he focuses on translating complex climate science into actionable insights for coastal communities facing hurricanes and chronic inundation. Daniel is also engaged with AI/ML and open science approaches to improve attribution studies and forecasting methods. His background—summa cum laude meteorology undergraduate training and hands-on experience at NOAA and university research centers—gives him a rare mix of observational, modeling, and policy-relevant skills. Colleagues value his ability to connect technical findings to real-world resilience decisions while keeping communication accessible.
8 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Meteorology, Summa Cum Laude, 4.0, Bachelor’s Degree, Meteorology, Summa Cum Laude, 4.0 at Florida State UniversityDoctor of Philosophy (Ph.D.), Atmospheric Science, Doctor of Philosophy (Ph.D.), Atmospheric Science at Massachusetts Institute of Technology
English
Stackoverflow
23reputation
442reached
0answers
1question
Github Skills (32)
bayesian-statistics9
python9
statistics9
stochastic-processes9
data-analysis8
climate-change8
machine-learning8
gaussian-processes8
gpflow8
variational-inference8
data-science8
tensorflow7
save6
mean6
flask6
Programming languages (2)
Github contributions (5)
climatecentral/gilford22_attframework
Jan 2022 - Jun 2022
Code supporting "A novel multi-method framework for global real-time climate attribution" by Gilford et al. (2022, ASCMO)
Contributions:95 commits, 1 PR, 46 pushes in 4 months
climatemethodattributiontime-seriessupporting
dgilford/tcpyPI
Mar 2020 - Aug 2022
tcpyPI: Open Software for Tropical Cyclone Potential Intensity Calculations in Python. 20k+ downloads.
Contributions:5 releases, 156 commits, 50 PRs in 2 years 5 months
pythonclimateclimate-dataweather-conditionshurricane-calculations
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