The NUCATS and I.AIM Health Informatics and Data Science Collaborative are pleased to welcome Dr. Arjun Krishnan for a seminar on his work democratizing data-driven discovery.
Arjun Krishnan is an Associate Professor in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus, where he also serves as Co-Director of three graduate training programs. His research group develops machine learning and AI methods that leverage massive public data collections—including omics profiles, molecular networks, genetics data, and unstructured metadata—to gain insights into the genetic and molecular basis of complex diseases. A key focus of Arjun's work is solving the "metadata problem" in biomedical research: making millions of publicly available datasets discoverable and reusable by developing computational methods that annotate and organize poorly labeled data. His lab has created numerous open-source tools and interactive webservers, including Txt2Onto for automated annotation of public samples and studies. In recognition of this work, his group received the 2022 NIH DataWorks! Prize for Significant Achievement in Data Reuse.
Arjun's research is supported by an NIH MIRA award, an NSF CAREER award, and grants from the Simons Foundation and NIAID. He received his PhD in Computational Biology from Virginia Tech and completed postdoctoral training at Princeton University. Beyond developing methods, he is passionate about democratizing computational biology through accessible tools and training the next generation of computational scientists.
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