Digital talent lab
as a part of DIgital
City lab
Decoding Cities for a Smarter Future
Stan Sobolevsky
Head of the Digital City Lab
Researcher, professor and entrepreneur. ML/AI researcher/engineer at Meta, Research Professor at New York University, Co-founder at Meetsta
Mathematician by training utilizing the value of big data, networks, machine learning and AI for urban and business analytics and innovation.
Passionate in applying analytic mindset and problem-solving skills to exciting scientific challenges and cutting-edge industrial problems with those who think beyond the code.
Jan Slovák
Mathematician, Researcher
Digital City Lab
Mathematician, Researcher, and Science manager
A renowned mathematician with significant contributions to geometric analysis, currently also involved in bridging the classical theories with deep learning and AI (cf. CaLiForNIA and CaLiGOLA). Slovák has also been the Editor-in-Chief of Elsevier "Differential Geometry and its Applications" since 2008. His expertise and academic leadership extends to strategic development projects on academic, national, and international levels.
Daniel bretSko
Datathon mentor
Digital City Lab
Founding Engineer (AI/ML) at Meetsta | Deep Learning Researcher in Masaryk University
Data Scientist with a history of working in the research and retail industry. Hands-on experience with real data, resolving various tasks in areas like NLP, Time Series, Urban Analytics, and Predictive Analytics, using Deep Learning and Machine Learning, Python (Pandas, Scikit-Learn, PyTorch, etc.), SQL, and statistics.
Devashish Khulbe
Datathon mentor
Digital City Lab
Deep Learning researcher with a focus on graph AI models and their applications in large scale urban networks
Devashish has experience working in numerous data science research labs based in Masaryk University and New York University, where he also worked as an adjunct instructor for Applied Data Science.
Digital City Lab
Decoding Cities for a Smarter Future
Digital Talent Lab is a key initiative of the Digital City Lab at MUNI.
At Digital City Lab, we unfold the complexity of urban systems to drive cutting-edge research, innovation, and real-world applications.
By leveraging big urban data, AI, and network science, we make cities smarter, more efficient, and sustainable—creating better places to live.
Urban Intelligence: Data-Driven Solutions
We develop Urban Data Engine & AI to detect patterns and model urban activity, unlocking solutions in:
Smart Urban Planning & Transport – Optimizing city infrastructure
Energy & Mobility Networks – Enhancing sustainability and resilience
Urban Social & Mobility Analysis – Understanding city dynamics
Using network science and deep learning, we tackle multi-layered, interconnected urban data, shaping the future of transportation, energy, social science, and more.
Collaboration with NYU’s Urban Complexity Lab
We work closely with New York University’s Center for Urban Science + Progress, collaborating with world-class researchers to advance the next generation of smart city technology.
Join Our Research Team
Our team includes experts in mathematics, computer science, engineering, and transportation. We are always looking for talented Ph.D. students and researchers to join us.
Explore possible cooperation with us
Institute of computer science, Masaryk university
The Institute of Computer Science at Masaryk University is a leading higher education institution dedicated to advancing information and communication technologies. Our focus encompasses a wide range of scientific and research activities, including:
Computing and Data Infrastructure: We develop robust systems that support efficient data management and processing.
Cybersecurity: Our research is aimed at enhancing security measures to protect digital information and infrastructure.
Interdisciplinary Collaboration: We foster partnerships across various fields to drive innovation and address complex challenges.