Daniel Goldfarb is a Team Lead in Risk Analytics R&D at Bloomberg with a decade of engineering experience bridging financial analytics and scientific rigor. He brings a Ph.D. in Biophysics from the University of Virginia to bear on complex modeling and data-driven risk problems, combining deep quantitative training with production software delivery. At Bloomberg he leads teams building analytics used in high-stakes finance, while maintaining hands-on contributions to open-source tools—most notably enhancing IPython’s %history magic to support glob-style range patterns. Based in New York, he pairs leadership and mentorship with a curiosity that spans molecular biophysics and backend engineering, an uncommon blend that helps translate research-grade ideas into robust, auditable systems.
10 years of coding experience
B.S., Physics, B.S., Physics at Muhlenberg College
Ph.D., Biophysics, Ph.D., Biophysics at University of Virginia
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Role in this project:
Back-end Developer
Contributions:6 commits, 1 PR, 15 comments in 1 day
Contributions summary:Daniel primarily contributed to the IPython project by enhancing the `%history` magic command. They implemented and refined a range pattern feature, enabling users to apply glob patterns to history ranges. The user also focused on removing debugging prints and formatting documentation related to the new feature. Furthermore, they addressed code style with a `darker` commit.
Financial Markets Data Visualization using Matplotlib
Contributions:12 releases, 23 reviews, 577 commits in 3 years 2 months
financialseabornpythoncandlestick-chartohlcv
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Daniel Goldfarb - Team Lead, Risk Analytics R&D at Bloomberg