Committee
Organizing committee:
Professor Eivind Almaas is a systems and computational biology researcher at the Norwegian University of Science and Technology (NTNU), where he has been a professor since 2009. His research focuses on using computational modeling and network approaches to understand complex biological systems, including metabolic and regulatory networks, epidemiological dynamics, and integrative analysis of large-scale biological data. His work bridges computational and experimental research and spans both fundamental and applied biological questions. He is actively engaged in interdisciplinary collaboration and mentoring in computational life science.
Daniel Machado has been an Associate Professor at the Department of Biotechnology and Food Science at NTNU since 2020. His research focuses on genome-scale metabolic modeling of microbial species and communities for sustainable biotechnology. He develops computational approaches to understand and engineer microbial metabolism, with particular emphasis on microbial cell factories and synthetic consortia. His work integrates modeling with multi-omics data to predict and optimize microbial phenotypes and community interactions.
Morten Beck Rye is an Associate Professor at the Department of Clinical and Molecular Medicine at NTNU. His research focuses on integrative analysis of multi-omics data to understand molecular mechanisms underlying human disease, particularly cancer. He develops computational approaches for combining genomics, epigenomics, transcriptomics, and spatial omics data to improve disease classification, biomarker discovery, and prognostic modeling. His work emphasizes the integration of high-dimensional biological data with advanced statistical and machine learning methods to identify clinically relevant molecular signatures. He is also actively involved in interdisciplinary research initiatives combining computational biology, molecular medicine, and translational health research.
Pål Sætrom is a Professor at the Norwegian University of Science and Technology (NTNU), with appointments in both the Department of Clinical and Molecular Medicine and the Department of Computer Science. His research focuses on computational modeling of gene regulation, with particular emphasis on non-coding RNAs and their roles in development and disease. He develops computational methods to predict how genetic variation influences gene regulation and to design RNA-based strategies for targeted gene control and therapeutic applications. His work integrates high-dimensional genomics and multi-omics data to identify functional genetic variants and improve understanding of human disease. He also leads bioinformatics research infrastructure and interdisciplinary initiatives supporting precision medicine and data-driven life science research.
