Prof. Younes Mokrab is Principal Investigator, Head of the Medical and Population Genomics Lab and Director of Neuroscience Research Program at Sidra Medicine. His lab leads research that integrates genomics, electronic health records, and medical imaging to study population structure, disease risk, and the architecture of genetic disorders, with a particular focus on Middle Eastern populations. He obtained a BSc in Genetics from the University of Sheffield (2003) and a PhD in Bioinformatics from Prof. Tom Blundell's lab at the University of Cambridge (2007), followed by a postdoctoral fellowship on modelling ion channelopathies with Prof. Mark Sansom at the University of Oxford. He then moved to the pharmaceutical industry, first at Lonza Biologics and then at Eli Lilly leading early-stage neuropsychiatry drug discovery. Prof. Mokrab is an author of more than 45 publications in top-tier journals, including Nature and Cell.

Dr. Oğuz Akbilgiç is a Professor of Artificial Intelligence in the Department of Cardiovascular Medicine at Wake Forest School of Medicine and serves as Associate Director of the Epidemiological Cardiology Research Center (EPICARE). His research centers on the application of artificial intelligence and machine learning in healthcare, with a particular emphasis on cardiovascular disease, neurodegenerative disorders, and maternal health outcomes. He earned his BS in Mathematics from Istanbul University and his MS in Statistics from Mimar Sinan University. He holds dual PhDs—one in Quantitative Methods from Istanbul University and another in Statistics from Mimar Sinan University. With over 100 peer-reviewed publications, Dr. Akbilgiç has led multiple NIH-funded projects aimed at early disease detection and risk prediction through AI-driven analysis.

Dr. Atakan Ekiz is a faculty member at the Department of Molecular Biology and Genetics at İzmir Institute of Technology. His research focuses on cancer immunology, non-coding RNAs, and bioinformatics, integrating experimental and computational approaches. His laboratory's work is supported by TÜBİTAK and EMBO and has been published in Nature Communications, Cancer Discovery, and Nature Immunology. Dr. Ekiz holds the UNESCO Chair in Biotechnology and Innovation at İzTech.

Dr. Eralp Doğu is a Professor of Statistics at Muğla Sıtkı Koçman University. His research interests include biostatistics, artificial learning, statistical methods for studies of biomolecular systems and process monitoring. He has developed the MSstatsQC and MSstatsQCgui software packages for quality control in proteomic experiments. He also serves as Coordinator of Digital Transformation and Data Management at Muğla Sıtkı Koçman University.

Dr. Mine Köprülü holds a BSc in Human Genetics from University College London and completed her MPhil and PhD in Genomic Medicine at the University of Cambridge as a Gates Cambridge Scholar. Her PhD focused on causal gene prioritization for diverse diseases through large-scale multi-omics data integration. Dr. Köprülü currently leads large-scale international proteogenomic collaborations. Her research interests lie in improving understanding of biological mechanisms underlying complex and rare diseases.

Dr. Ahmet Süreyya Rifaioğlu is a researcher at the Institute for Computational Biomedicine, Heidelberg University. His doctoral research focused on applying machine learning and deep learning for computational drug discovery. In 2023, he was awarded the Medical Data Scientist Fellowship by Heidelberg University. His research focuses on developing problem-driven algorithms for computational scientific discovery to advance understanding of disease mechanisms, with a particular focus on brain tumours using large-scale spatial and single-cell data.