I completed my PhD in the Cell, Molecular, Developmental Biology, and Biophysics (CMDB) program at Johns Hopkins University, advised by Rajiv McCoy and supported by a National Science Foundation Graduate Research Fellowship. I am interested in answering some of the most fundamental questions in human genetics - especially the genetic and molecular causes of errors and biases in inheritance. To do so, I’ve developed and applied computational and statistical methods for use with large-scale human genomic data. My dissertation examined how errors and biases in chromosome segregation arise during human development and how they impact genetic transmission and fertility.

I was especially excited by our most recent work (Carioscia et al. 2026, accepted Nature, medRxiv), where we uncover the strongest evidence yet for how common genetic variants influence risk of early pregnancy loss. In prior work, we estimate a realistic range for how often whole-chromosome genetic errors occur in eggs, sperm, and early embryos (Yang, Carioscia et al. 2025, Genetics).

I’m currently a Data Scientist at Valo Health. Our mission is to identify new drug targets for some of the most devastating and prevalent diseases. In this role, I apply my computational and statistical methods to support our scientific goals and improve experimental procedures.

I received my undergraduate degree in Biology and Classics from Georgetown University, where I developed evolutionary models and simulations with Manus Patten. Prior to graduate school, I spent two years as a Science Policy Fellow at the Science and Technology Policy Institute (STPI), contributing to technical and regulatory projects for U.S. Executive Branch agencies including the NIH and NASA.

Outside of work, I’m an avid cyclist and compete in gravel and cyclocross races in the Washington, DC area. I serve on the Board of Directors of the Friends of the Mount Vernon Trail, supporting program planning and partnerships to maintain and improve the trail.