Saniya Khullar (United States)

Originally from New Jersey, USA, this is my first adventure working abroad. I earned my bachelor’s degrees in Economics (Honors) and Math, with a minor in Business Administration (2015), as well as a Master’s degree in Applied Math/Statistics (2016), from Georgetown University in Washington, D.C. Georgetown’s Jesuit ethos of cura personalis—care for the whole person—sparked my lasting passion for public health and data-driven research.At the University of Wisconsin–Madison, I completed a Master’s degree in Computer Science (2021) and a Ph.D. in Biomedical Data Science (2024). My doctoral research focused on understanding how disease-risk variants for brain-related disorders (like Alzheimer’s disease) shape biological networks—spanning genes, regulatory elements, and proteins—that underlie key phenotypes. Prior to joining the Anderson Lab in 2025, I contributed to research at the Allen Institute for Brain Science in Seattle.

Currently, I use bioinformatics approaches to study how genetic variation drives disease susceptibility in immune-mediated diseases such as inflammatory bowel disease. My goal is to improve personalized genetic risk prediction and to identify causal plasma proteins and molecular pathways as promising therapeutic targets. I am also collaborating with the Inouye Lab at the University of Cambridge and am affiliated with Churchill College and Clare Hall.

Outside the lab, I love traveling, photography, creative projects, punning, and knitting, and I enjoy board and video games, stargazing, long walks, singing, creating educational content on YouTube, and enthusiastically watching theWorld Cup and the Olympics. I grew up as a devoted Harry Potter, Nickelodeon, and Star Wars fan and care deeply about volunteering, spending time with my community, and learning about different cultures. While I love all animals, I’m a proud mom to two belovedrescue cats: Tubby (a friendly, gentle, and very talkative orange boy) and Chia (a loving and courageous salt-and-pepper “copycat” girl). 🐾