Instructors

She graduated from Carnegie Mellon University in 2017 with a dual degree in Computational Biology and Chemistry. She is interested in developing machine learning models for improving current strategies of neoantigen design and prioritization for cancer immunotherapy.

Her research is focused on understanding intratumoral heterogeneity, tumor evolution, and the tumor microenvironment at single cell resolution. She uses computational approaches to analyze, integrate, and interpret large-scale genomic data, with an emphasis on single-cell RNA-sequencing data. She completed a PhD in Genetics in the laboratory of George Church at Harvard Medical School, and a postdoctoral fellowship in Systems Biology with David Botstein at Princeton University. She was Research Faculty under the mentorship of Tim Ley at Washington University and the McDonnell Genome Institute.

He graduated with Ph.D in Informatics from University of Missouri-Columbia in December 2019. His current work focusses on understanding Acute Myeloid Leukemia at the single cell level using Single cell RNA-sequencing analysis. He is interested in developing informatics approaches in Single cell RNA-seq to better understand Cancer.

Dr. Griffith’s research is focused on the development of genomics and bioinformatics methods as they apply to the study of cancer biology and medicine. A particular focus of his work is in the translation of genomics data from whole genome, exome and transcriptome sequencing into clinically actionable observations and personalized cancer therapies. He has led the development of key online informatics resources for cancer precision medicine such DGIdb, DoCM, CIViC and more.

Kelsy is a PhD candidate in the Molecular Cell Biology program at Washington University in St. Louis. She completed her undergraduate degree at Mercer University in 2016, where she earned a B.S. in Biochemistry and Molecular Biology. She is interested in developing methods to analyze multiple types of sequencing data in order to better understand regulatory mutations and splicing within cancer, particularly with respect to personalized cancer vaccine design. Currently, she is involved with [2]DGIdb, [3]RegTools, ORegAnno and analysis of several breast cancer clinical cohorts. She is also part of the Precision Medicine Pathway and Cancer Biology Pathway at WashU, which allows to better understand how she can translate genomics and informatics into the clinic more efficiently.