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    Shrey Sukhadia, PhD (he/him/his)

    Assistant Director of Genome Informatics
    DHMC
    Lebanon, New Hampshire, United States

    Shrey S. Sukhadia, MS, PhD
    I  am an Assistant Director of Genome Informatics at Dartmouth Health, and Instructor of Pathology and Laboratory Medicine at the Geisel School of Medicine at Dartmouth College. I am a Biomedical Informatics and Machine Learning Scientist, and my training is in biotechnology, bioinformatics, pathomics, radiomics, machine learning, software engineering, and cloud-based operations with more than a decade of experience working in clinical laboratories analyzing omic datasets for cancer patients. I received Bachelor of Engineering in Biotechnology from Visvesvaraya Technological University in India, and a Masters in Bioinformatics from University of the Sciences in Philadephia. My PhD-training is from Queensland University of Technology in Brisbane (Australia) in collaboration with Stanford University (Stanford, USA), and was focused on conducting machine learning experiments that connect radiological, pathological and omic (i.e., genomic/proteomic-based) data together to predict treatment-response and tumor-recurrence in Breast, Head and Neck, and Lung cancer.
    I have developed and validated clinical-grade bioinformatics pipelines to analyze NGS data for several tumor types at various clinical labs for over a decade. I have conducted informatics evaluation/validation of whole exome sequencing and transcriptome assays that result out somatic variants, i.e., SNVs, Indels, CNVs, gene-fusions, TMB, and MSI, in tumor specimens. My research interests include modeling radiomic, pathomic, clinicopathologic, and molecular features of tumors to predict the risk of recurrence/metastases in cancer patients, using several machine learning techniques in the most transparent and explainable manner.


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