Over the next few weeks we’ll be introducing you to our first year doctoral students.
Hi! My name is Jenna Landy. I am originally from Santa Cruz, California and I just graduated from Cal Poly, San Luis Obispo with a BS in Statistics and a minor in Data Science. In my undergraduate years, I enjoyed working as a teaching assistant for statistical theory courses and as a research assistant with the Mechanical Engineering department investigating non-cognitive factors of engineering student success. Over the summers, I interned as a software engineer at Project Jupyter and a data scientist at Amazon Web Services. While I enjoyed these internships, I also felt this work’s impact didn’t fully fit my ambitions.
My choice to switch gears towards biostatistics came from a search for more interesting and meaningful applications of my skills as well as my interest in biology—particularly genetics. I’m really happy to be on the genomics training grant and am especially excited about utilizing my background in software and data science to work on new, challenging problems. In my free time, I love listening to and playing music, reading, and exploring new places with friends. I’ve lived in California my whole life and just moved to Boston, so I am looking forward to getting to know the area!
Hi! My name is Yige Li, and I was born and raised in Beijing, China. I studied Probability and Statistics at Peking University, China. I was impressed by causal inference in my sophomore year and started doing research on related projects since then. Being involved in a twin study, I began to get interested in the application of statistics in public health. After entering HSPH as a master student in Epidemiologic Methods, I worked with Professor Tyler VanderWeele on sensitivity analysis results for differential misclassification errors. After graduating from the SM2 program, I worked as a research assistant, at the Department of Health Care Policy, HMS, with Professor Jose Zubizarreta on improving weighting approaches for quality measurement and for time-varying exposures analysis. I am looking forward to diving deeper into causal inference and exploring more potentials along with high dimensional statistics at the Department of Biostatistics.
In my free time, I like to learn some techniques on computer vision. I used to play softball during my undergrad and now I enjoy watching baseball games.