Aparna Nathan

I am a lecturer at Harvard, and completed my PhD in Bioinformatics and Integrative Genomics in 2022 in the Raychaudhuri Lab. My dissertation focused on the integration of multimodal T cell data—RNA, surface proteins, genetics—to better understand their roles in infectious and autoimmune diseases. I also designed a single-cell approach to model state-dependent expression quantitative trait loci (eQTL) and I am currently extending this work to scale it to larger datasets without sacrificing statistical robustness. I use these methods to better understand the genetic architecture and state-dependent regulatory impact of immune disease-associated loci. Outside of research, I enjoy teaching and mentoring, writing about science for the public, and exploring Boston on foot.