After completing my undergraduate degree in Biomathematics at Rutgers University in 2016, I joined the Tri-I Computational Biology and Medicine Program with a desire to extend my knowledge of mathematical statistics to large-scale machine learning methods. I joined the lab of Dr. Dana Pe’er at Memorial Sloan Kettering Cancer Center (MSKCC), where I develop integrative models for single cell RNA-seq data to address biological questions related to tumorigenesis
In CBM, I have the ability to work on cutting-edge problems, from both technological and computational as well as biological standpoints. Correspondingly, I am afforded the opportunity to explore a relatively new area of computational research, and have had the opportunity to present my work in many venues. In addition, the program has supported my growth in both areas by offering courses across many disciplines.
There are a few additional aspects of the research culture in the Tri-I program and within MSKCC specifically which continue to provide opportunities for me as a graduate student. For one, I am thrilled to be a part of a number of collaborations that are encouraged by the highly interdisciplinary environment that CBM provides. My lab engages in a number of joint projects with investigators specialized across diverse areas of biology, such that the members of our lab are able to work on a wide range of biological problems. Relatedly, many labs across the three institutions have access to patient data through collaborative arrangements with clinicians, opening doors to be involved directly in translational science. Students in CBM are encouraged to share their science with one another, which in my case has led to a joint project with a fellow student in the program. Besides these advantages, the CBM program has been great in that I have been able to experience campus life in NYC and in Ithaca, both of which I have really enjoyed.