In My most recent role, I was a Computational biology Lead at Output Biosciences.
Prior to this, I was a Principal Computational Biology Scientist at Kaleido Biosciences where I helped discover Microbiome Metabolic Therapies (MMT) for various disease areas by studying host-microbiome interactions using computational and bioinformatic methods. From 2020-2021, I was at Teva Pharmaceuticals where I was involved with Translational Statistics efforts in biologics discovery and development. From 2017 to 2020 I was at Personal Genome Diagnostics (PGDx) where I helped develop computational and bioinformatic software to detect variants in cancer genomes.
I received my doctorate in biological sciences from theUniversity of Maryland in Jacques Ravel's lab. My project identified key RNA regulatory mechanisms to the host defense in the human vaginal microbiome. Prior to this, I worked in collaboration with Drexel University and GlaxoSmithKline pharmaceuticals to computationally discover novel mechanisms of host-pathogen interactions during respiratory viral and bacterial infection. Part of this work was applied toward completion of my Master of Science in Engineering degree from the University of Pennsylvania.
I have undertaken several projects that span my interest of combining computational and experimental biology. A listing of these projects can be found via the Projects page. I am currently working on projects that use computational/bioinformatic and experimental methods to analyze transcriptomic and genomic data so that it can be used to solve clinical problems.