Robert Jankowski
Postdoctoral Fellow at Delft University of Technology
Delft, South Holland, Netherlands
Summary
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Senior🎓
Top SchoolRobert Jankowski is a postdoctoral researcher and applied physicist with eight years of experience bridging network geometry, embeddings, and machine learning, currently based at TU Delft. He holds a PhD in Physics and built his expertise through interdisciplinary roles from physics-driven social systems research to industry NLP and software internships at Samsung and TouK. His work blends theoretical rigor with practical engineering—spanning data-driven modeling, Python analysis, and production-oriented development in Scala and C#—and focuses on uncovering geometric structure in biological and complex networks. Colleagues describe him as a researcher who moves fluidly between abstract models and hands-on implementation, bringing unexpected domain breadth from signed-relation social physics to AI-driven network embeddings.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Applied Physics - Data Exploration and Interdisciplinary Modeling, Master's degree, Applied Physics - Data Exploration and Interdisciplinary Modeling at Warsaw University of TechnologyDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Universitat de Barcelona
English, Polish, Spanish
Stackoverflow
1,411reputation
76kreached
33answers
4questions
Github Skills (65)
graph-algorithms10
python10
network-analysis10
graph-visualization10
complex-networks10
graph-theory10
genetic10
graph-analysis10
herokuapp10
monte-carlo9
transition9
openai-gym8
youtube8
flask8
simulation8
Programming languages (7)
Github contributions (5)
robertjankowski/XYmodel
Dec 2018 - Aug 2020
Simulation of XY model (Kosterlitz–Thouless transition) in Cython
Contributions:33 commits, 2 PRs, 16 pushes in 1 year 8 months
physics-simulationpythonxy-modeltransitionsimulation
robertjankowski/ga-openai-gym
Sep 2019 - Feb 2021
Usage of genetic algorithms to train a neural network in the multiple OpenAI gym environments.
Contributions:90 commits, 28 PRs, 75 pushes in 1 year 5 months
gym-environmentsdeep-learninggeneticreinforcement-learninggenetic-algorithms
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