Corey Sobel
Technical Writer at Self
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolCorey Sobel is a versatile technical writer and researcher with 13 years of experience translating complex international development, human rights, and health data into polished white papers, donor reports, and media-ready stories. Based in Sydney and working at Columbia University’s GRID3 program, he oversees end-to-end production of research communications on census mapping, health infrastructure, and vaccination campaigns across sub-Saharan Africa. A published novelist and longtime freelancer, he pairs narrative craft with rigorous field research—skills honed reporting on conflict, post-conflict reconstruction, and public health from Burma to Kenya. Uncommonly for a communications professional, he also contributes to open-source scientific tooling—improving Julia integrations with Jupyter and Python via IJulia.jl and PyCall.jl—bridging technical back-end development and accessible documentation.
13 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Writing Conflict: Reporting International and Ethnic Violence, Bachelor's degree, Writing Conflict: Reporting International and Ethnic Violence at Duke University
Spanish
Github Skills (10)
back-end-development10
jupyter10
numpy10
julia10
testing9
package-development9
interoperability9
c178
c118
python7
Programming languages (11)
Github contributions (5)
JuliaLang/IJulia.jl
Nov 2015 - Sep 2017
Julia kernel for Jupyter
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 10 PRs, 96 comments in 1 year 10 months
Contributions summary:Corey primarily focused on improving the IJulia.jl kernel's interaction with the Jupyter environment. They implemented optimizations for standard input/output streams, ensuring efficient data transfer and handling of large outputs, addressing related bugs. The user introduced a feature that allows for setting the header under which stream messages are sent. Additional changes were made to address issues in comm handling and message delays, enhancing the kernel's stability and responsiveness.
kernelapljupyter-notebooknotebookjupyter
JuliaPy/PyCall.jl
Apr 2018 - Dec 2018
Package to call Python functions from the Julia language
Role in this project:Back-end Developer
Back-end DeveloperContributions:7 commits, 9 PRs, 65 comments in 8 months
Contributions summary:Corey primarily focused on improving the `pycall.jl` package, which allows Julia to call Python functions. Their contributions involved fixing bugs related to the conversion of Python objects, optimizing the `pycall` function, and adding the `pycall!` function for performance improvements. They also worked on adding support for non-contiguous PyArrays, which involved modifying the array handling code and improving buffer-related functionalities, as well as testing.
pythonjulia-languagecffinumpyinteroperability
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