Assoc. Prof. Ing. Martin Kuchař, Ph.D

Associate professor Kuchař is acting Head of the Forensic Laboratory of Biologically Active Substances (BAFA) at the University of Chemistry and Technology in Prague (UCT), where April19 co-founder Jáchym Fibír discovered and synthesized our unique class of psychedelic-inspired compounds. As a bioorganic chemist with over 10 years of experience in neuropsychopharmacological research and forensic toxicology, he is well-positioned to advise April19 on the development of novel psychoactive compounds. He facilitates the partnership between BAFA and April19, helping to find the best possible arrangement for resource sharing in the joint development of these compounds. At BAFA, he focuses on the synthesis of pure alkaloids, their metabolism, and pharmacological characteristics, which are critical for the development of safe and effective drugs. Furthermore, as an active member of the International Forensic Toxicological Society, his expertise with both legal and illegal narcotics and psychotropic substances is invaluable for ensuring that the development of novel psychedelics meets legal requirements.

Prof. Ing. Daniel Svozil, Ph.D

As the Head of the Department of Informatics and Chemistry at UCT Prague, and the creator and guarantor of BSc, MSc, and Ph.D study programs in bioinformatics, professor Svozil has over 20 years of experience in structural bioinformatics, computational drug design and computational chemical biology. His research interests include virtual screening and chemical space exploration, de novo molecular design using deep learning approaches, synthetic accessibility prediction, and molecular target identification—all directly relevant to April19's mission to design and develop novel psychedelics using AI. His broad expertise in cheminformatics, particularly in integrating the latest AI models and computational techniques, will help us accelerate the drug discovery process and identify novel psychedelics that might not be discoverable through traditional methods. Moreover, having access to his professional network will enable us to identify and hire highly-skilled computational chemists in the field of AI-assisted drug discovery.