Prof. Dr. Zoran Nikoloski serves as a Professor and Head of the Cooperative Research Group in Systems Biology and Mathematical Modelling at the Max Planck Institute of Molecular Plant Physiology in Potsdam, Germany, where he leads interdisciplinary research at the intersection of computational methods and plant science. His primary research focuses on developing mathematical frameworks to model complex biological systems in plants, with emphasis on metabolic networks, gene regulation, and multi-omics data integration. This work employs advanced computational techniques to decode plant physiological processes, contributing to fundamental understanding of plant function and potential applications in agricultural biotechnology. Dr. Nikoloski directs the Cooperative Research Group dedicated to Systems Biology and Mathematical Modelling, fostering collaborative approaches to analyze biological complexity through quantitative modeling and algorithm development within the institute's research ecosystem.
Prof. Dr. Jens Allmer is a full Professor of Medical Informatics and Bioinformatics at Ruhr West University of Applied Sciences (HRW) in Mülheim an der Ruhr, Germany. He previously held academic positions as Cluster Leader at Wageningen University and Research in the Netherlands (2017-2018) and as Assistant and Associate Professor at Izmir Institute of Technology in Turkey (2008-2016). His academic journey began with a PhD in Biology with distinction from the University of Münster in 2006. Prof. Allmer's research spans multiple omics disciplines with a primary focus on microRNA regulation and pathogen-host interactions. He employs machine learning techniques to explore these complex biological systems. His work has evolved from foundational bioinformatics methods to sophisticated integrative analyses, particularly in proteogenomics and computational miRNomics. He has made significant contributions to understanding microRNA detection algorithms, proteogenomic peptide mapping, and the development of comprehensive frameworks for omics data analysis. His recent publications demonstrate a strong trend toward integrative approaches that combine multiple data types, with increasing emphasis on machine learning applications in bioinformatics. The research spans from fundamental database development for noncoding RNAs to clinical applications in disease mechanisms, particularly in HIV infection and cancer pathways. His work shows consistent progression from method development to application in biological and medical contexts. Outstanding Young Scientist in Bioinformatics by the Turkish Academy of Sciences (2010) EMBO Short Term Fellowship Award (2013) DAAD Research Stays for University Academics and Scientists (2013, declined) Outstanding Young Researcher, Turkish Academy of Science (2010) Prof. Allmer has advised numerous doctoral and master's students throughout his career, primarily during his tenure at Izmir Institute of Technology. He has secured substantial research funding, with over 650,000 euros received for his projects. His teaching portfolio includes courses in medical informatics, bioinformatics, data mining, machine learning, and database systems across multiple institutions in Germany, Turkey, and through ERASMUS programs. He maintains active collaborations with researchers across Europe and continues to contribute significantly to both theoretical and applied aspects of bioinformatics.
