About

Scientist & AI Specialist
- CV: [PDF]
- Website: jmtomczak.github.io
- Email: jmk.tomczak
gmail.com
- City: Amsterdam, the Netherlands
Jakub M. Tomczak is an associate professor and the PI of the Generative AI group at the Eindhoven University of Technology (TU/e). Before joining the TU/e, he was an assistant professor at Vrije Universiteit Amsterdam, a deep learning researcher (Engineer, Staff) in Qualcomm AI Research in Amsterdam, a Marie Sklodowska-Curie individual fellow in Prof. Max Welling's group at the University of Amsterdam, and an assistant professor and a postdoc at the Wroclaw University of Technology. His main research interests include deep generative modeling, deep learning, and Bayesian inference, with applications to image/text processing, Life Sciences, and Molecular Sciences. He serves as an action editor of "Transactions of Machine Learning Research", and an area chair of major AI conferences (e.g., NeurIPS, ICML, AISTATS). He is the author of the book entitled "Deep Generative Modeling", the first comprehensive book on Generative AI. He is also the founder of Amsterdam AI Solutions.
Facts
Years of Experience
Supervised projects
Top publications
Funding gathered (EUR)
Additional Information
Presentations
My presentations at conferences, workshops, for academic and industrial research groups, summer schools
DeeBMed
My project that was carried out from 2016/10/1 to 2018/09/30 within the Marie Skłodowska-Curie Action (Individual Fellowship), financed by the European Comission.
My Book
My book on Generative Artificial Intelligence. This is the first comprehensive book on deep generative modeling explaining theory behind Diffusion-based models, Variational Auto-Encoders, GANs, autoregressive models, flow-based models, and energy-based models. Moreover, each chapter is associated with code snippets presenting how the beforementioned models could be implemented in PyTorch.
Resume
Education
Ph.D. in Computer Science/Machine Learning (with honors)
Mar 2013
Wroclaw University of Technology, Poland
Title: Incremental Knowledge Extraction from Data for Non-Stationary Objects
Supervisor: Prof. Jerzy Swiatek
M.Sc. in Computer Science
Dec 2009
Blekinge Institute of Technology, Sweden
M.Sc. in Computer Science (the best thesis in Poland)
Jul 2009
Wroclaw University of Technology, Poland
Work Experience
Associate Professor
Feb 2023 - Present
Eindhoven University of Technology, Eindhoven, the Netherlands
Advisor
Mar 2022 - Present
NatInLab, Amsterdam, the Netherlands
Assistant Professor of Artificial Intelligence
Nov 2019 - Feb 2023
Vrije Unviersiteit Amsterdam, the Netherlands
Deep Learning Researcher (Staff Engineer)
Oct 2018 - Dec 2019
Qualcomm AI Research, Amsterdam, the Netherlands
Postdoc/Marie Sklodowska-Curie Individual Fellow
Oct 2016 - Sept 2018
Universiteit van Amsterdam, the Netherlands
Researcher (part-time)
Feb 2016 - Jun 2016
INDATA SA, Wroclaw. Poland
Assistant Professor
Oct 2014 - Sept 2016
Wroclaw University of Technology. Poland
Postdoc
Oct 2012 - Sept 2014
Wroclaw University of Technology. Poland
Ph.D. student / Research assistant
Jun 2009 - Sept 2012
Wroclaw University of Technology. Poland
Publications
Book
J.M. Tomczak, ''Deep Generative Modeling'', Springer, Cham, 2022.
Full list of papers
Please check my Google Scholar
BLOG
- All
- VAEs
- GANs
- Flows
- ARMs
- Joint
- Theory
- Applications
Contact
Location:
MetaForum, 5612 AZ Eindhoven, the Netherlands
Email:
jmk.tomczakgmail.com