Pejman is a computational biologist with a background primarily in statistical machine learning and Bayesian data modeling. His current research interests span over practical and theoretical issues that arise in genomics and personalized medicine, focusing on quantitative analysis of regulatory variation in the genome and its application to rare diseases.
Before joining the Scripps Research Institute as a tenure track Assistant Professor in 2018, Pejman received his Ph.D. in Computational Biology from ETH Zurich in 2014 and carried out postdoctoral work at the NY Genome Center and Columbia University from 2015 to 2017.
Nava joined the lab in 2019 as a postdoctoral research associate. She is working on statistical methods for quantifying the effect of genetic variants on gene regulation. She is interested in challenging problems that improve human health. She received both her PhD and MSc in Computer Engineering from University of Tehran, Iran.
Marcela joined the lab in 2019 and is a KL2 Scholar at TSRI. She is developing statistical methods for analyzing transcriptomic data for improving rare disease diagnostics. She received both her PhD in Bioengineering (under Prof. Todd Coleman) and an M.A. in Applied Mathematics from UC San Diego.
Daniel joined the lab in 2020 and has a joint position in the Palmer Lab at UC San Diego. He is developing methods to identify regulatory variation in outbred rats with applications in psychiatry. He did his PhD in Quantitative and Computational Biology at Princeton University with Mona Singh. Personal website
Bence joined the lab in 2018. He has taken part in both software development as well as statistical analysis projects at the lab, but also handles most things related to IT/infrastructure. He did his B.S. in Biomedical Engineering at Syracuse University. Personal website | GitHub
Yuren joined the lab in 2019 as an Intern Researcher. He is also an undergraduate student in Bioengineering: Bioinformatics in UC San Diego, graduating in 2021. He is working on statistical modeling to capture systematic relationship between genes.
Shiyi joined the lab in 2020 and is a member of Torbett Lab at the University of Washington, Seattle. She is a graduate student in the Molecular Medicine and Mechanisms of Disease (M3D) Ph.D. Program. Her thesis project focuses on sequencing and analyzing HIV RNA present in virions and studying the development of drug resistance mutations in HIV from HIV-infected patient sera isolates.
Adam is an aspiring physician-scientist who joined the lab in 2020 through the Scripps Summer Research Internship program. He is designing an online tutorial to accompany the lab’s ANEVA package for allelic expression analysis. He concurrently leads research projects on various ocular diseases with Drs. Peter Shaw, Shyamanga Borooah, and Daniel Chao at the Shiley Eye Institute. He graduated summa cum laude with his BS in Bioengineering from UC San Diego in June 2019 and is currently applying to MD-PhD programs.
Eric joined the lab in 2020 through the Scripps Summer Research Internship program. He is implementing the lab’s ANEVA-h package in R for allelic expression analysis. He currently is an undergraduate student at UC San Diego studying Data Science.