David Sanders
Senior Scientist at RelationalAI
Houston, Texas, United States
Summary
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Rockstar🎓
Top SchoolDavid Sanders is a senior scientist and seasoned computational researcher with 16 years of experience bridging academic rigor and production software, currently applying his expertise at RelationalAI in Houston. Trained with a PhD in Applied Mathematics and stints at MIT and UNAM, he blends deep theoretical background in computational statistical physics and nonlinear dynamics with practical contributions to the Julia ecosystem and IPython documentation. His open-source work includes bug fixes and tests in the core Julia language, data-structure implementations in JuliaCollections, and educational notebooks for MIT courses and COVID-19 analysis, showing both low-level systems fluency and pedagogical clarity. Comfortable across back-end engineering, QA, technical writing, and full-stack notebook development, he brings a researcher’s precision to shipping reliable code and reproducible analyses. An eclectic detail: alongside his technical career he has maintained a commitment to music as a part-time violinist and violist, reflecting a disciplined creative streak.
16 years of coding experience
14 years of employment as a software developer
MMath (Part III), Mathematics, MMath (Part III), Mathematics at University of CambridgeDEA, Theoretical physics, DEA, Theoretical physics at Université libre de BruxellesPhD, Applied mathematics, PhD, Applied mathematics at University of Warwick
English, Spanish, French, German
Stackoverflow
5,240reputation
305kreached
100answers
1question
struct
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julia
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Github Skills (35)
data-visualizations10
markdown10
notebook10
algorithms10
programming-language10
restructuredtext10
computation10
testing10
data-visualisation10
ipython10
integer-arithmetic10
data-structure10
markdown-it10
language-design10
nbconvert10
Programming languages (18)
Github contributions (5)
mitmath/computational-thinking
Aug 2020 - May 2021
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
Role in this project:
Student (Researcher)
Student (Researcher)Contributions:1 review, 202 commits, 27 PRs in 8 months
Contributions summary:David's commits primarily involve modifications to a Pluto.jl notebook (`hw0.jl`) related to a course on computational thinking with Julia. The changes include adding content in Markdown, initializing variables for student information, and implementing a function for calculating square roots using Newton's method, and modifications to a notebook for Sierpinski's triangle. Overall, contributions point towards completing assignments, problem sets, or tutorials associated with the computational thinking course.
juliajulia-languagecomputational-thinkingmitpluto-notebooks
mitmath/6S083
Mar 2020 - Jul 2020
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:74 commits, 1 PR, 55 pushes in 3 months
Contributions summary:David's primary contribution centers around the development of a Jupyter Notebook for exploring and analyzing COVID-19 data. This involves the implementation of code for data exploration, visualization using plots, and demonstrating the use of arrays and basic data manipulation techniques within the Julia environment. Further contributions include the addition of markdown cells for describing goals, and mathematical concepts related to the analysis of COVID-19 data. Their work demonstrates proficiency in utilizing the Julia language for data analysis, visualization, and educational content creation.
julia
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