Jacob Marold

Executive Director - AI And Applied Machine Learning at JPMorgan Chase & Co.

New York, New York, United States
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Summary

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Senior
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Top School
Jacob Marold is an Executive Director in AI and Applied Machine Learning at JPMorgan Chase with 11 years of experience translating advanced NLP, deep learning, and statistical modeling into production analytics for finance and healthcare. He combines a PhD-trained background in molecular and computational biophysics with hands-on expertise in PyTorch/TensorFlow, masked language modeling, anomaly detection, and large-scale document metadata extraction. A seasoned conference speaker and mentor, Jacob excels at error analysis, global parameter estimation, and building interpretable multi-dimensional visualizations that drive business decisions. His career blends academic rigor—from NIH and Johns Hopkins research—to enterprise impact, having progressed from Research Associate and Data Science Fellow to leadership roles managing ML teams. He’s particularly interested in efficiency optimization, web analytics, and applying network analysis to unstructured data, bringing a rare mix of lab-honed experimental discipline and production-grade ML engineering.
code11 years of coding experience
job6 years of employment as a software developer
bookJohns Hopkins University
bookBachelor of Arts (BA) -Magna Cum Laude, Chemistry, Bachelor of Arts (BA) -Magna Cum Laude, Chemistry at University of Minnesota Duluth
languagesEnglish, Dutch
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Github Skills (4)

ising-model8
protein-sequences8
bioinformatics7
structural-biology7

Programming languages (1)

Jupyter Notebook

Github contributions (5)

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A suite of programs to analyze repeat-protein unfolding data with a 1D Ising model.
Contributions:52 commits, 28 PRs, 9 pushes in 21 days
protein-sequencesstructural-biologybioinformaticsprogramsising-model-1d
xtremejake/cmd-cheatsheet

Apr 2018 - Jun 2022

Contributions:7 pushes in 4 years 2 months
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Jacob Marold - Executive Director - AI And Applied Machine Learning at JPMorgan Chase & Co.