Ian Bolliger
Principal Quantitative Engineer
Truckee, California, United States
Summary
👤
Senior🎓
Top SchoolIan Bolliger is a Principal Quantitative Engineer with 13 years of interdisciplinary experience applying earth science, economics, ML, and civil engineering to quantify physical climate risk for policy and investment decisions. He has led development of production-scale climate risk models incorporated into BlackRock’s Aladdin platform and tools used to inform US regulatory policy and analyze over $20 trillion in assets. At Reask he builds data layers and tooling to map socioeconomic impacts of extreme weather, and his work has produced public, building-level flood risk maps and state adaptation guidance. Ian combines hands-on scientific programming and cloud-native data infrastructure—he’s contributed backend improvements to dask-kubernetes to scale distributed workflows—and often bridges teams of economists, climate scientists, and practitioners to turn complex research into operational analytics.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Energy and Resources, Doctor of Philosophy (Ph.D.) Energy and Resources at University of California, BerkeleyBachelor of Science - BS Applied Mathematics, Bachelor of Science - BS Applied Mathematics at Harvard University
Spanish
Stackoverflow
36reputation
1kreached
1answer
1question
Github Skills (20)
kubernetes10
python10
dask10
kubernetes-pods10
dockers9
cloud-infrastructure9
docker9
infrastructure9
distributed-computing8
kriging6
automations6
regression6
automation6
statsmodels6
automation-testing6
Programming languages (11)
Github contributions (5)
dask/dask-kubernetes
Nov 2019 - Nov 2019
Native Kubernetes integration for Dask
Role in this project:
Backend Developer
Backend DeveloperContributions:5 commits, 1 PR, 10 comments in 1 day
Contributions summary:Ian primarily focused on modifying and configuring the Dask Kubernetes integration. Their contributions included adjusting idle timeout settings for the scheduler and cluster, and incorporating configuration parameters from `dask.config`. They updated the code to pass settings to distributed components. Additionally, the user formatted code using black.
k8skubernetesdaskkubernetes-native
ClimateImpactLab/pyCIAM
Apr 2022 - Jan 2025
A Python port, including numerous model updates, of the Coastal Impacts and Adaptation Model
Contributions:10 releases, 1 review, 28 PRs in 2 years 9 months
pythoncoastalupdatesadaptationimpacts
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