Ashish Shelar

Ashish Shelar is an experienced computational biologist currently specializing in data analysis of cutting-edge spatial genomic and proteomic technology platforms. Ashish earned his Master's degree in Bioinformatics from Savitribai Phule Pune University and his Ph.D in Computational Biology from the Indian Institute of Science, Bengaluru. His doctoral research involved data mining and curating one of the early datasets of membrane protein structures and sequences to uncover thumb rules governing their in-vitro folding. He then began his post-doctoral work at Yale University to experimentally create genetic screens to design and identify novel transmembrane proteins that specifically activate receptors. As a separate project, Ashish then used confocal imaging to understand receptor-neurotransmitter interactions in C.elegans and computationally compared it with single cell RNA seq data. As an Associate Research Scientist working for YCGA since February 2022, Ashish works with multiple investigators at Yale University and Yale New Haven Hospital to analyze data and provide insights from spatial technologies such as Xenium, CosMx, MERFISH and Imaging Mass Cytometry and CyToF.