Benjamin Stahl

Applied AI at Fundamental

Berkeley, California, United States
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Summary

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Senior
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Top School
Benjamin Stahl is an applied AI and data science practitioner with a PhD in Physics from UC Berkeley and a decade of experience turning noisy, large-scale datasets into decision-grade forecasts for high-stakes users. At Citadel he designed pipelines and models over 10¹¹+ rows that support 100+ investment professionals, emphasizing principled methodology, explicit uncertainty quantification, and operational robustness under time pressure. His academic work on exploding stars translated into order-of-magnitude gains in accuracy and a novel inference method that cut required data collection by ~90%, reflecting a talent for extracting signal from sparse observations. Now at Fundamental, he brings a rare blend of first-principles scientific training, rapid prototyping, and clear, context-aware communication that ensures models are trusted and acted upon.
code10 years of coding experience
job11 years of employment as a software developer
bookDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of California, Berkeley
bookUniversity of California Santa Cruz
bookAssociate’s Degree, Physics, Math, Engineering, Associate’s Degree, Physics, Math, Engineering at Cabrillo College
languagesEnglish, Spanish
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Github Skills (15)

spectra9
convolutional-neural-networks9
cosmology8
supernova7
astronomy7
astrophysics6
pipeline6
spectral5
deep-learning5
python4
measurements4
offset3
simulation2
finder2
charts1

Programming languages (3)

IDLJupyter NotebookPython

Github contributions (5)

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benstahl92/pySNID

Mar 2018 - Jul 2019

A collection of python code for running the the SuperNova IDentification code (SNID) [Blondin and Tonry 2007] and interacting with its inputs and outputs.
Contributions:39 commits, 1 PR, 37 pushes in 1 year 5 months
python
benstahl92/LOSSPhotPypeline

Sep 2018 - Oct 2020

Lick Observatory Supernova Search Photometry Pipeline
Contributions:295 commits, 32 PRs, 343 pushes in 2 years 2 months
photometryphotometry-pipelineobservatorypipelinesupernova
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