Nicole Orzan
Postdoctoral Researcher at Vrije Universiteit Brussel
Brussels, Belgium
Summary
👤
Senior🎓
Top SchoolNicole Orzan is a postdoctoral researcher at Vrije Universiteit Brussel with eight years of experience at the intersection of multi-agent reinforcement learning, game theory, and cooperation theory. Her work focuses on decision-making under uncertainty and emergent behaviors in decentralized systems, applied most recently to pandemic prevention and mitigation as part of the Descartes Project. She completed a PhD at Rijksuniversiteit Groningen where she designed scalable multi-agent deep RL algorithms, published in top venues, taught and mentored students, and built end-to-end ML systems using Python and PyTorch. Nicole combines rigorous theoretical grounding with practical system-building—having applied RL and optimization to domains from smart grids to NLP-driven industry projects—bringing both academic leadership and hands-on engineering to complex socio-technical problems.
8 years of coding experience
5 years of employment as a software developer
MSc, Data Science and Scientific Computing, Cum Laude, MSc, Data Science and Scientific Computing, Cum Laude at University of Trieste, SISSABSc, Physics, BSc, Physics at University of Trieste
Italian, English, French
Github Skills (7)
solve2
double2
maze1
reinforcement-learning1
deep-reinforcement-learning1
sarsa1
q-learning1
Programming languages (2)
Github contributions (5)
nicoleorzan/ad_exam
Feb 2018 - Dec 2021
Contributions:14 pushes, 3 branches in 3 years 10 months
nicoleorzan/marl-emecom
Mar 2022 - Mar 2023
Multi Agent Reinforcement Learning with Emergent Communication for Mixed Motive Environments
Contributions:219 commits, 1 PR, 273 pushes in 1 year
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.