Albert Steppi - Scientific Software Developer at Northeastern University

Albert Steppi

Scientific Software Developer at Northeastern University

Chicago, Illinois, United States

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Summary

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Rockstar

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Albert Steppi is a Scientific Software Developer and SciPy maintainer with eight years of experience applying statistical and numerical computing to real-world decision problems. He blends academic rigor—a PhD in Statistics from Florida State University and advanced study in mathematics—with hands-on engineering work at Quansight, Northeastern’s Gyorilab, Harvard Medical School, and industry roles in ML research. His contributions include precision-focused numerical additions to SciPy (ndtri_exp) and porting special functions like Lambert W into GPU-accelerated CuPy, highlighting an uncommon mix of low-level C/C++ implementation and high-level statistical insight. Based in Chicago, he focuses on evaluation and decision-making methodology for ambiguity in biomedical text mining, bringing practical machine learning to sensitive domains. Known for shipping robust, well-tested numerical code, he thrives at the intersection of open-source stewardship and applied research.

8 years of coding experience

9 years of employment as a software developer

Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Florida State University

Doctor of Philosophy - PhD (withdrawn), Mathematics, Doctor of Philosophy - PhD (withdrawn), Mathematics at Duke University

Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Central Florida

Stackoverflow

Stats

311reputation

21kreached

3answers

0questions

Github Skills (20)

algorithms10

scipy10

c-language10

python10

c1110

numpy10

c1710

f10

cupy10

cprogramming-language10

scientific-computing10

cuda9

gpu8

testing8

scikit-learn6

Programming languages (11)

TypeScriptC++ShellCSSCMakefileSCSSJavaScript

Github contributions (5)

scipy/scipy

May 2021 - Oct 2022

SciPy library main repository

Role in this project:

Back-end Developer

Contributions:836 reviews, 10 commits, 225 PRs in 1 year 5 months

Contributions summary:Albert's commits focused on implementing the inverse of the Log CDF of the Normal Distribution, a significant enhancement for the SciPy library. Their work involved adding a new function, `ndtri_exp`, to compute the inverse of the log CDF, which offers improved precision in specific scenarios. The implementation includes C code for the new function, which provides a more precise result compared to applying `ndtri(exp(y))` in edge cases and underflow situations. The changes also involved adding test cases to verify the accuracy of the new function's calculations.

scipypythonscientific-computing

cupy/cupy

Dec 2023 - Oct 2024

NumPy & SciPy for GPU

Role in this project:

Back-end Developer

Contributions:5 PRs, 12 comments, 4 issues in 9 months

Contributions summary:Albert contributed to the implementation of the Lambert W function from the SciPy special C++ library, integrating it into CuPy's core special functions. This involved creating the necessary header files, implementing the function logic, and adding the function to the CuPy special module. The user also added tests for the Lambert W function and documented the addition in the reference documentation.

cudapythoncusolvergpunumpy

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