Allan Haldane - Research Assistant Professor at Temple University

Allan Haldane

Research Assistant Professor at Temple University

Philadelphia, Pennsylvania, United States

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Summary

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Allan Haldane is a Research Assistant Professor and computational biologist with 11 years of experience applying physics-based statistical mechanics and population genetics to problems in gene regulation, HIV, and cancer drug design. He holds a PhD in Biophysics and builds high-performance analysis and inference tools—often leveraging low-level C and CUDA—to extract signals from large protein-sequence alignments and regulatory datasets. His work spans method development, GPU-accelerated inference software, and practical applications in drug discovery informed by protein structural networks. An active open-source contributor and member of the NumPy Steering Council, he has also improved core scientific Python projects like Matplotlib and NumPy, focusing on backend stability and clearer documentation. Based in Philadelphia, Allan combines rigorous theoretical training with hands-on systems engineering, making him equally comfortable deriving population-genetic models and optimizing their implementations for scale. A less obvious strength is his track record of translating abstruse statistical physics concepts into robust, production-ready computational tools used in biomedical research.

11 years of coding experience

4 years of employment as a software developer

B. Sc., Physics, Honors, B. Sc., Physics, Honors at McGill University

Doctor of Philosophy - PhD, Biophysics, Doctor of Philosophy - PhD, Biophysics at Rutgers University

Github Skills (11)

debug10

gtk10

backend10

python10

back-end-development10

documentation10

numpy10

matplotlib10

data-visualisation9

data-visualization9

data-visualizations9

Programming languages (6)

ShellC++CZigHTMLPython

Github contributions (5)

numpy/numpy

Jan 2015 - Mar 2021

The fundamental package for scientific computing with Python.

Role in this project:

Back-end Developer

Contributions:1 release, 9 reviews, 334 commits in 6 years 3 months

Contributions summary:Allan's commits primarily focused on improving the documentation of NumPy's structured arrays and their associated datatypes. They revised the documentation to clarify the nomenclature and usage of record arrays, structured arrays, and recarrays. The user also added a section describing record arrays and structured array examples, and corrected several aspects of the text and formatting.

lapackpythonmpindarrayconvolution

matplotlib/matplotlib

Nov 2014 - Oct 2017

matplotlib: plotting with Python

Role in this project:

Back-end Developer

Contributions:4 commits, 3 PRs, 11 comments in 2 years 11 months

Contributions summary:Allan primarily focused on refactoring and fixing bugs related to the `idle_event` feature within the Matplotlib backend. They removed the feature from several backends, added deprecation warnings, and corrected its behavior in the wx backend. Additionally, they fixed a bug related to saving figures in the GTK backend and corrected the default image save format in the GTK4 dialog. Their contributions centered around improving the stability and usability of Matplotlib's graphical user interfaces.

pythondata-sciencegtkdata-visualizationplotting

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