Assistant Director of Genome Informatics
DHMC
Shrey S. Sukhadia, MS, PhD
I am an Assistant Director of Genome Informatics at Dartmouth Health, and Instructor of Pathology and Laboratory Medicine and the Geisel School of Medicine at Dartmouth. I am a Biomedical Informatics and Machine Learning Scientist, and my training is in biotechnology, bioinformatics, machine learning, software engineering, and cloud-based operations with more than a decade of experience working in clinical laboratories analyzing genomic and proteomic datasets for cancer patients. I received my Bachelor of Engineering in Biotechnology from Visvesvaraya Technological University in India, and my 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 several clinical labs over a decade. I have conducted informatics evaluation and validation of whole exome sequencing and transcriptome assay for reporting of somatic variants (such as SNVs, Indels, CNVs, Gene-fusions, TMB and MSI) in tumor specimens. My research interests include modelling radiomic, pathomic, clinicopathologic and molecular features of tumors to predict the risk of their metastasis in cancer patients, using several Machine Learning and Artificial Intelligence techniques in the most transparent and explanaible way.