Theodore Papamarkou

Athens, Attica, Greece

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Summary

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Rockstar

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Top School

Theodore Papamarkou is a mathematician-turned-software engineer and founder with 13 years of experience bridging research-grade statistics and production-ready numerical software. He has held academic and research positions across leading institutions (Cambridge, UCL, Glasgow, Manchester, Oak Ridge) and now leads PolyShape while serving as a visiting professor in Athens. Theodore is a hands-on contributor to high-impact open-source projects—most notably implementing core forward-mode AD in Julia's ForwardDiff and extending complex-number support in the Crystal language—bringing deep expertise in automatic differentiation, multivariate distributions, and statistical computation. His work combines rigorous PhD-level statistics with pragmatic engineering, producing tested implementations of multivariate t-distributions and differentiation primitives used by scientific software. Based in Athens, he maintains an actively updated research manuscript on Zenodo, signaling a commitment to reproducible, evolving scholarship alongside entrepreneurial and code-centric impact.

13 years of coding experience

13 years of employment as a software developer

Bachelor of Science (BSc) Mathematics, Bachelor of Science (BSc) Mathematics at University of Ioannina

Doctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at University of Warwick

Github Skills (20)

algorithm10

algorithms10

programming-language10

crystal-lang10

data-science10

mathematics10

statistics10

complex-numbers10

math10

distributions10

data-structure10

calculus10

automatic-differentiation10

data-structures10

probability-distribution10

Programming languages (9)

JuliaC++CoffeeScriptMakefileJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

JuliaDiff/ForwardDiff.jl

Apr 2013 - May 2015

Forward Mode Automatic Differentiation for Julia

Role in this project:

Back-end Developer

Contributions:123 commits, 2 PRs, 5 pushes in 2 years 1 month

Contributions summary:Theodore primarily contributed to the core functionalities of the `forwarddiff.jl` library, which focuses on forward mode automatic differentiation in Julia. Their work included the initial implementation of the `ADForward` type and its related methods, along with operations such as +, -, *, /, sqrt, sin, cos, and more. They also refactored and improved the codebase by incorporating dual numbers and multivariate gradual differentiation techniques.

calculusautomatic-differentiationdifferentiationforward-modejulia

JuliaStats/Distributions.jl

Dec 2013 - Jun 2014

A Julia package for probability distributions and associated functions.

Role in this project:

Data Scientist

Contributions:14 commits, 3 PRs, 54 comments in 5 months

Contributions summary:Theodore's primary contributions involve the development and testing of multivariate t-distribution functionality within the `distributions.jl` package. They implemented the core `GenericMvTDist` structure, related methods for logpdf, gradloglik, and random sampling, and added tests to validate the implementation. The user's work expanded the package's capabilities for statistical analysis and modeling, focusing on probability distributions.

julia-packagedistributionsstatisticsdata-scienceprobability-distributions

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