Graduate of the Faculty of Biology and Environmental Protection at the University of Lodz (Bachelor of Biotechnology), the University of Glasgow (MSc in Bioinformatics), and the University of Aarhus (PhD in Translational Medicine).
An expert in Artificial Intelligence (AI) with 14 years of academic and business experience. His career has included building and implementing advanced anti-fraud systems that effectively detect fraud in the public social security system. His expertise extends to the broad application of AI in many sectors, including oncology, genetics or molecular biology, where he has developed AI-based diagnostic methods and integrated a variety of biomedical data.
He has held key roles in the management of danetics (Data Science) teams, conducted educational activities for senior managers, promoting the application of artificial intelligence in business, and brought such approaches into everyday use, implementing systems to improve the efficiency of various control activities.
His academic experience includes research on RNA and DNA molecular biology, which he conducted at international research centres. Since March 2024, he has taken on the creation of a new computational division at Molecure, where he manages specialist teams responsible for drug discovery. His work focuses on combining bioinformatics, chemoinformatics and danetics to develop innovative medical solutions, contributing, among other things, to the discovery of new drugs for incurable diseases.
He is also an author of numerous scientific publications, a speaker at professional conferences, has given several interviews, lectures and webinars on AI.
Mentor in the Mentorship project: 12th edition, 2024/2025
Meeting place: at the Mentor's workplace, place agreed with the Mentee, online, Lodz, Warsaw
Number of mentees in this edition: 2
Language: Polish, English
Mentee support area:
- career development as a specialist in a global environment
- use of quantitative fields such as artificial intelligence (AI), data science (danetics), predictive analytics, machine learning, statistics, bioinformatics, chemoinformatics, quantum chemistry, programming
- discovery and optimisation of low-molecular-weight drugs
- support of anti-fraud activities with AI-based technologies
- cooperation with customers in large public institutions (government)