Igor V. Tetko
About Igor V. Tetko
Igor V. Tetko is an Associate Editor at Chem Res Tox and a specialist in predicting physico-chemical and biological properties using advanced machine learning techniques. He has held various academic and leadership roles across Europe and has authored significant works in the field of chemoinformatics.
Work at American Chemical Society
Igor V. Tetko has been serving as the Associate Editor for the journal Chem Res Tox at the American Chemical Society since 2019. In this role, he is responsible for overseeing the peer review process, ensuring the quality of published research, and contributing to the advancement of knowledge in the field of chemical research and toxicology.
Education and Expertise
Igor V. Tetko holds a PhD in Computational Chemistry from the Institute of Bioorganic Chemistry and Petrochemistry, where he studied from 1989 to 1994. He also achieved HDR (habilitation) in Chemoinformatics at the University of Strasbourg from 2010 to 2011. His expertise includes the prediction of physico-chemical and biological properties using advanced machine learning techniques, as well as addressing ADME/Tox problems through applied machine learning methods.
Background
Igor V. Tetko has a diverse academic and professional background. He studied Physics at the Moscow Institute of Physics and Technology, earning a BS and MSc with honors from 1983 to 1989. He has held various positions, including Project Coordinator at AIDD-ITN since 2021 and CEO/Founder of BigChem GmbH since 2015. His previous roles include significant academic positions at multiple universities and leadership roles in research projects.
Achievements
Igor V. Tetko has contributed to the development of tools for analyzing chemical reactions and the applicability domain in chemoinformatics. He has authored the book 'Associative Neural Networks,' which discusses property-based similarity in model space. Additionally, he has developed self-learning algorithms for ensemble methods in chemoinformatics. His leadership roles include serving as General Chair of the ICANN2019 conference and as a Faculty Member at F1000.
Professional Experience
Igor V. Tetko has extensive professional experience in both academia and industry. He has worked at various institutions, including the Université de Lausanne and the Université de Strasbourg, in roles such as Visiting Professor and Postdoc. His experience also includes serving as Principal Investigator at the G. A. Krestov Institute of Solution Chemistry and as an Executive Committee member of the European Neural Network Society since 2017.