| Center for Computational Biology|
Department of Computer Science
Ph.D. Candidate in Computer Science, Salzberg Lab, Johns Hopkins University
My research is focused on structural vaiant discovery and analyses in human genomic data. I use both alignment and assembly based approaches with both short and long read data sets. My current projects are focused on examining variants in diverse populations and in breast cancer patient data.
My recent research on discovering 300 Mb of long novel insertion sequences in 910 individuals of African-ancestry has received attention in the popular press, including in The Atlantic, Inverse, and Genetic Engineering and Biotech News. I gave an interview on the subject on Ireland's Newstalk radio show Futureproof (interview begins at 24:00).
Prior to beginning my PhD in 2015, I received a B.S. from Harvey Mudd College in Mathematical and Computational Biology. During my undergraduate I participated in several research projects, including a NSF REU at Cold Spring Harbor Laboratory where I examined genomic structural variation detection methods in Mike Schatz's lab, and a collaborative senior capstone project with Anne Condon at University of British Columbia studying RNA folding energies and pathways.
In addition to my research, I have sought out opportunities to develop my teaching skills. In addition to TAing, I am currently enrolled in the Johns Hopkins Teaching Academy Certificate Program, through which I attend classes and workshops to strengthen my teaching skills and learn to think pedagogically. In January 2019, I taught a 3-week intersession course on dog DNA sequencing analyses, which I designed and taught as the sole instructor.
In my spare time I enjoy volunteering at my local animal shelter, the Maryland SPCA, where I walk dogs and work with the Behavior and Training department on employing force-free, positive training techniques. I also love hanging out with my own rescue pup, playing volleyball and board games, and cooking and baking.