people

Meet Rafał Kucharski and his dynamic research group at Jagiellonian University in Kraków. From Principal Investigators to students, this team engages in groundbreaking projects on transport systems, machine learning, and urban mobility. Discover their members, achievements, and ongoing contributions to advancing these fields.

PI

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Rafał Kucharski

I am an Associate Professor at the Faculty of Mathematics and Computer Science, Jagiellonian University in Krakow (Poland) with the Group of Machine Learning Research GMUM. I run the ERC Starting Grant COeXISTENCE where I bridge between ML and transportation - we simulate how intelligent machines compete with humans for limited urban resources (space) and what can we expect. I am also involved in Horizon Europe project, SUM. From 2021 to 2024 I led the NCN Opus Grant on Shared Mobility in the pandemic times.

PostDocs

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Paweł Gora

I completed my Ph.D. in computer science at the University of Warsaw. As a researcher, I primarily work in AI, quantum computing, complex processes, and intelligent transportation systems. I have co-authored over 30 scientific articles, participated in over 10 research grants, and received several awards.

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Grzegorz Jamróz

I defended my PhD in mathematics at University of Warsaw (Poland) in 2015. My research experience includes internships at University of Heidelberg (Germany) and postdoc positions at University of Warwick (UK), University of Basel (Switzerland) and Institute of Mathematics, Polish Academy of Sciences in Warsaw.

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Olha Shulika

I was an Assistant Professor at the Faculty of Mathematics and Computer Science of Jagiellonian University in Krakow. At the time, I was working as part of a group led by Prof. Rafal Kucharski as a PI in the EU co-funded Seamless Shared Urban Mobility (SUM) project, which aimed to help cities integrate new and shared modes with public transport. Before that, I was part of the team working on the NCN Opus Grant on Shared Mobility in Pandemic Times.

PhD students

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Onur Akman

I'm a Computer Engineer with a specialization in Artificial Intelligence. I am from a lovely city called Eskişehir in Türkiye. My journey in this field began at Yıldız Technical University in Istanbul, where I earned my Bachelor's degree in Computer Engineering. After completing my Bachelor's degree, I spent two years in Italy, pursuing a master's degree in Computer Engineering from the University of Padova. Currently, I am thrilled to be a member of the COeXISTENCE team.

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Łukasz Gorczyca

I am a PhD student in the COeXISTENCE project. I am affiliated with the Jagiellonian University, where I completed both bachelor's and master's degree in applied mathematics. My broad research interests include free probability theory, machine learning in drug discovery and social data analysis.

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Anastasia Psarou

My name is Anastasia Psarou. I am a PhD student currently working as part of the COeXISTENCE team towards training machines to drive better than humans using Reinforcement Learning. I earned my master’s degree in Electrical and Computer Engineering at the University of Thessaly in Greece, specializing in software development and artificial intelligence.

students

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Yann Dyinski

I am a Master's student from CentraleSupélec Paris, currently taking a gap year as a research intern at the lab. My studies focus on machine learning, applied mathematics, and physics. I am particularly interested in reinforcement learning, multi-agent systems, and their applications to urban mobility.

former

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Ye Li

I am an Assistant Professor at Beijing University of Technology, specializing in traffic modeling and network management. I worked with the COeXISTENCE team under the National Natural Science Foundation of China–European Research Council (NSFC–ERC) Joint Programme. The purpose of my visit was to collaborate on modelling future traffic systems with autonomous vehicles, using machine learning for routing decisions.

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Usman Akhtar

Adjunct (assistant professor) at Jagiellonian University (May 2022 - January 2024), where I researched complex social systems such as urban mobility. My research interests and competencies encompassed application aspects of distributed systems, cloud computing and Cloudcentric Data Acquisition. I focused on enabling cloud for data acquisition, synchronization and persistence.

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Michał Bujak

I graduated in Applied Mathematics from Jagiellonian University. During my studies, I focused primarily on probability theory, with my master’s thesis addressing the construction of the Wiener process, as well as statistics and graph theory, with my bachelor’s thesis concerning the equivalence of König’s and Hall’s theorems. I pursued a PhD in Technical Computer Science at the same university and defended my doctoral dissertation in May 2026. The title of my dissertation was Advances in Ride-pooling - Methods from Operations Research and Network Science.

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Natello Descormier

As an engineering student at the École polytechnique in Paris, I was doing a master-level research internship within the COeXISTENCE project, on the topic of coalition games in urban networks.

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Farnoud Ghasemi

I was a PhD student at the Faculty of Mathematics and Computer Science at Jagiellonian University. My PhD research, conducted under the supervision of Prof. Rafal Kucharski, focused on studying the behavioural dynamics of two-sided mobility markets using agent-based microsimulation. I defended my PhD thesis in May 2026. The title of my doctoral dissertation was Agent-based Modelling of Ride-sourcing Dynamics.

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Michał Hoffmann

I was pursuing a bachelor's degree in Theoretical Computer Science at Jagiellonian University. My research focuses on competition in the transportation, where I combine Game Theory with Machine Learning to explore the impact of conflicts on everyday commuter.

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Alexander Schmaus

I was on a research stay at the Faculty of Mathematics and Computer Science of Jagiellonian University in Krakow in 2025. My PhD at the Potsdam Institute for Climate Impact Research and the Technical University of Berlin examines ride-pooling dynamics and their impact on sustainable public transport systems.

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Błażej Torbus

I am an Applied Computer Science Master's student at Jagiellonian University and an intern in the COeXISTENCE project. Currently, I am focused on feature-based urban route clustering - a topic I am also exploring in my Master's Thesis under the supervision of prof. Rafał Kucharski.

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Zoltán Varga

I achieved my bachelor's degree in Hungary at the Budapest University of Technology and Economics. My specialization was railway systems and management. I got my master's degree at the Technical University of Denmark where my study line was data science and smart mobility. I was invloved in the ERC, COeXISTENCE as a PhD Student (November 2023 - February 2025).

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Hanna Vasiutina

I completed my PhD in transportation at Cracow University of Technology. During my studies, I participated in the EU project CityChangerCargoBike and conducted a research internship at TU Delft in the Netherlands. From April 2024 to February 2026, I worked as a postdoctoral researcher in the SUM project.

others