Ines Heiland

Ines Heiland is a Professor of Molecular Biology and Bioinformatics at the Department of Arctic and Marine Biology, UiT The Arctic University of Norway. She leads research in systems biology with a focus on metabolic modeling, particularly of NAD and tryptophan pathways, and their implications in aging and disease. She is Chair of the board of the National Research School for Bioinformatics, Biostatistics and Systems Biology (NORBIS), and teaches courses in bioinformatics, systems biology, and scientific programming.

Research Interests: Her work lies at the intersection of computational biology and biochemistry. She develops dynamic models to simulate metabolic networks, especially those involving NAD homeostasis, tryptophan metabolism, circadian rhythms, and metabolic signaling. Her research aims to uncover mechanisms underlying aging and disease, guiding therapeutic development through predictive modeling. She emphasizes close collaboration with experimentalists to validate model predictions.

Publication Trends: Her recent publications reflect a strong focus on NAD metabolism, systems modeling, and bioinformatics tool development. Key themes include genome-scale metabolic modeling, stable isotope labeling, epigenetic-metabolic crosstalk, and evolutionary analysis of metabolic pathways. Her work appears in high-impact journals such as Nature Metabolism, Cell, and PNAS.

Scientific Awards:

• No specific awards mentioned in the provided text.

Advising and Grants: While specific advisees are not listed, she has mentored junior researchers and collaborated widely. She leads or contributes to multiple research projects, including those on metabolic biomarkers, protein-protein interactions, and stable isotope approaches. She has led modeling components in collaborative grants, particularly those involving experimental validation of metabolic hypotheses.

Labs and Teams: She is a member of the Bioinformatics and Systems Biology research group at UiT and leads modeling efforts within collaborative projects. She is actively involved in NORBIS, supporting national training in bioinformatics and systems biology.