Thoughts, insights, and reflections on research, academia, and the evolving landscape of [Your Field].
Welcome to Pawel Dabrowski-Tumanski's personal website!
Researcher, Educator, and Scientific Collaborator
This website serves as a comprehensive overview of my academic journey, research contributions, teaching activities, and professional collaborations. Explore my work, discover my research interests, and learn about opportunities for collaboration.
Scientific News
Biography
About Me
I am a researcher and educator working at the intersection of chemistry, bioinformatics, and data science, with a strong commitment to open science. Trained as an organic chemist (MSc) and theoretical chemist (PhD), my doctoral work focused on protein knots, combining computational biophysics with statistical physics and topology. Alongside my academic training in mathematics and physics, I have developed expertise in cheminformatics, programming, and machine learning, enabling me to work across both theoretical and applied domains of modern computational science.
My career bridges academia and industry. I have contributed to cheminformatics-driven startups such as Molecule.One, where I built data systems to support deep learning in synthesis planning, and Ingenix.AI, where I curate and analyze chemical and biological data for clinical trial modeling. Currently, I teach and supervise research at Cardinal Wyszynski University and Warsaw Technical University, with a focus on bioinformatics, cheminformatics, and spectroscopy.
Current Positions
Education
- Ph.D. in Theoretical Chemistry, University of Warsaw (Summa cum laude), 2019
- M.Sc. in Organic Chemistry, University of Warsaw (Summa cum laude), 2014
- B.Sc. in Mathematics, University of Warsaw, 2012
- B.Sc. in Chemistry, University of Warsaw, 2011
Other courses done
- M.Sc. courses in Physics (biophysics), University of Warsaw
- M.Sc. courses in Mathematics (topology), University of Warsaw
Research
Research Projects
Publications
Research Tools & Software
Programming packages
Databases
Research Funding & Grants
Past Funding
Entangled Proteins - introduction to nanomedicine
€32.000 [115.000 PLN]Polish National Science Center, Etiuda, 2017-2019
Role: Principal Investigator
Identification and characterization of proteins with link topology
€28.000 [100.000 PLN]Polish National Science Center, Preludium, 2016-2019
Role: Principal Investigator
Funding Summary
Community Involvement
Editorial Work
- Editorial Board Member, Biology Methods and Protocols
- Reviewer for Biology Methods and Protocols, Nature Communications, Briefings in Bioinformatics, Chemical Science, Computational and Structural Biotechnology Journal, Journal of Chemical Information and Modeling
Conference Organization
- Organizer of the Eutopia Academy for PhD students, 2022
- Program Committee, Gordon Research Seminar accompanying GRC on Protein Folding, 2018
Professional Memberships
- Eutopia Association (COST action)
- ECNR - Mazovia region representative
Teaching
Business Cooperation
Professional Collaboration Opportunities
I welcome opportunities to collaborate with industry partners, startups, and established organizations seeking academic expertise and research-driven solutions.
Research Consultation
Expert advice on research methodology, data analysis, and scientific strategy.
Training & Workshops
Custom training programs and workshops for professional development.
Strategic Partnerships
Long-term collaborations for research and development projects.
Technical Advisory
Advisory services for technology development and implementation.
Let's Discuss Your Project
Interested in collaboration? Contact me to discuss how my expertise can benefit your organization.
Get in TouchBlog
Contact
Get in Touch
I welcome inquiries about research collaboration, speaking engagements, and academic partnerships.
Email Addresses
p(dot)dabrowski-tumanski (at) uksw(dot)edu(dot)pl
pawel(dot)tumanski (at) pw(dot)edu(dot)pl
Academic Affiliations
Faculty of Mathematics and Natural Sciences
Faculty of Mathematics and Information Science
Phone
22 380 96 26