I am a postdoctoral scholar at the Department of Biomedical Informatics and Medical Education in the University of Washington (UW). Prior to this, I was a Moore/Sloan and Washington Research Foundation Innovation in Data Science Postdoctoral Fellow at the eScience Insitute in UW. My research involves the development and application of data science methods at multiple scales of the biological system to accelerate the discovery, diagnosis and treatment of rare genetic diseases. In particular, by using machine learning models as proxies when data are missing, erroneous and/or biased, my research will address the class of rare genetic diseases as a whole, combining both disease- and mechanism-centric approaches. To this end, I recently received an K99/R00 Pathway to Independence Award from the National Library of Medicine at the National Institutes of Health for the development of computational methods to support the discovery and diagnosis of rare genetic disorders from electronic health records.

Before coming to Seattle, I received my Master’s degree in Bioinformatics and doctoral degree in Informatics from the School of Informatics and Computing (now School of Informatics, Computing and Engineering) at Indiana University, Bloomington. Under the advisorship of Dr. Predrag Radivojac, my doctoral dissertation focused on computational methods for understanding the impact of amino acid substitutions on protein function. Prior to my graduate studies, I received my Bachelor’s degree in Biotechnology from the People’s Education Society (PES) Insitute of Technology (now PES University) in Bengaluru, India.