Haluk Resat

Haluk handled research and training grants in the areas of computational biology, bioinformatics, systems biology, mathematical biology, big data, and biomedical technology research resources. He also directed the Joint DMS/NIGMS Initiative to Support Research at the Interface of the Biological and Mathematical Sciences before leaving NIGMS for a position with the NIH Common Fund.

Archived: Updated Focus of NIGMS-Supported Predoctoral Training in Computational Biology, Bioinformatics, and Biomedical Data Science

November 6, 2018
Modern biomedical research is becoming increasingly quantitative and reliant on computational methods, with growing use of large and complex datasets to address biomedical research questions and advance human health. To help address the need for biomedical researchers with cutting-edge computational and quantitative skills, we have updated the focus areas of our Predoctoral T32 Training Program in Computational Biology, Bioinformatics, and Biomedical Data Science (formerly called Bioinformatics and Computational Biology). In doing this, we aim to better integrate training in data-science approaches throughout the curriculum and during the mentored research period. We are now placing a strong emphasis on programs that:
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