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Tomas Babej
Co-founder and CTO at ProteinQure - We're hiring! - Computational protein drug discovery
Tomas Babej is the co-founder and Chief Technology Officer (CTO) at ProteinQure, a Toronto-based biotech startup focused on designing protein therapeutics through computational methods. His work aims to revolutionize drug discovery by engineering drugs rather than discovering them through traditional means, with applications in treating diseases such as cancer, diabetes, asthma, and cardiovascular conditions.135
Educational Background
Tomas holds multiple master's degrees from Masaryk University in Brno, Czech Republic, specializing in Theoretical Computer Science and Security of Information Technologies, along with a bachelor's degree in Mathematical Computer Science. His academic focus includes algorithm design, optimization, and quantum computing.135
Professional Experience
Before co-founding ProteinQure in 2017, Tomas gained significant experience in various roles:
- Entrepreneur in Training at the Creative Destruction Lab, where ProteinQure was recognized as the top company in its cohort.
- Software and Machine Learning Engineer at the European Space Agency, contributing to projects involving automated detection of celestial objects.
- Machine Learning Developer at Masaryk University, where he developed frameworks for user action identification in mobile apps.
- Software Engineer at Red Hat, working on identity systems and contributing to open-source projects.1345
Achievements
Tomas has been recognized for his contributions to the field; he was named in the Forbes 30 Under 30 list in the Healthcare & Science category in 2020. This accolade highlights young leaders who are making significant impacts across various industries.25
Interests
Tomas is passionate about open-source software development and has maintained a strong commitment to this ethos throughout his career. He enjoys exploring how open-source principles can be applied to quantum computing and other technological advancements.4
In summary, Tomas Babej is a prominent figure in the intersection of biotechnology and computational science, leveraging his extensive background in software engineering and machine learning to innovate drug discovery processes.