Post-Doctoral Fellowships
Toshitaka Hayashi, Ph.D.
Dr. Toshitaka Hayashi is currently a postdoctoral researcher at the Faculty of Science, University of Hradec Kralove, studying machine learning algorithms for BCG signals. He has obtained a Ph.D. degree in Software and Information Science from Iwate Prefectural University, Japan.
His research topic is machine learning algorithms with limited training data. Especially, he has an interest in how to detect unseen data. Research keyword is One-class classification, Anomaly detection, Self-supervised learning, Data imbalanced classification. His primary publication is Less-complexity one-class classification approach using construction error of image transformation network from Information Science Journal.
RNDr. Oleksandr Kozlov, PhD.
Oleksandr Kozlov completed his doctoral studies in the Analytical Chemistry program at the Faculty of Science of the Pavel Jozef Šafárik University in Košice in 2020. During his studies in 2018, he completed an 8-month internship at the Department of Physical and Macromolecular Chemistry at Charles University in Prague.
He has long been engaged in the analysis of biologically active substances using chromatographic methods. He published the results of his work in international peer-reviewed journals. He is currently a postdoctoral fellow at the Department of Chemistry, University of Hradec Králové, where he deals with metabolomic and lipidomic analysis of biological samples using supercritical fluid chromatography combined with mass spectrometry. His other scientific interests include chiral separations.
RNDr. Patrik Olekšák, PhD.
Dr. Patrik Olekšák, Ph.D., was born in Košice, where he completed both his Bachelor's and Master's degrees in General Chemistry and Organic Chemistry, respectively, at Pavol Jozef Šafárik University. His rigorous thesis explored the stereoselectivity of [3,3]-sigmatropic shifts to introduce new stereogenic centers into small molecules. During his PhD at the same university, he focused on the asymmetric synthesis of precursors for oxazolomycin derivatives, which are considered potential anticancer agents. In 2015, he undertook a three-month internship at Syngenta Crop Protection in Stein, Switzerland, working on the development of novel insecticides and herbicides.
Since 2018, he has been a faculty member at the University of Hradec Králové. His research interests include the development of new small molecules that slow aging to comprehensively prevent and treat age-related diseases such as neurodegenerative disorders, cancer, cardiovascular diseases, and type 2 diabetes. He also works on the synthesis of mitotic inhibitors with anticancer activity and the synthesis of protein kinase inhibitors for treating neurodegenerative diseases. Additionally, he specializes in the structural analysis of organic compounds using 1D and 2D nuclear magnetic resonance (NMR) spectroscopy techniques.
PharmDr. Martin Juhás, Ph.D.
Martin Juhás studied at the Faculty of Pharmacy of Charles University in Hradec Králové, where he completed his Ph.D. in Pharmaceutical Chemistry in 2023, under the supervision of Associate Professor PharmDr. Jan Zitko, Ph.D. His doctoral research focused on the design, synthesis, and biological evaluation of compounds with potential antimicrobial effects, specifically targeting pyrazine derivatives as antituberculosis agents. In addition to experimental and synthetic work, he utilized computational methods such as docking, molecular dynamics, and quantum calculations for drug design. During his studies, he completed two international internships at the University of Ljubljana (Slovenia) and the University of Vienna (Austria), where he honed his skills in experimental techniques like click chemistry and enzymatic testing of biological activity, as well as advanced computational methods involving artificial intelligence. His work has been published in international peer-reviewed journals.
Since 2023, he has been working at the Department of Chemistry at the Faculty of Science, University of Hradec Králové, focusing on the use of computer modeling to study substances for the treatment of neurodegenerative and other diseases.
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