PI, Associate professor
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.
Pejman joined Scripps Research as a tenure track Assistant Professor in 2018 and was promoted to Associate Professor in 2021. He holds a Ph.D. in Computational Biology from ETH Zurich 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
Ryan joined the lab in 2021. His research is focused on developing, applying, and communicating computational methods to analyze biological data in order to improve our understanding of human health and disease. He did his PhD in pharmaceutical sciences at the University of Colorado Anschutz Medical Campus with Laura Saba.
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.
Kaushik Ram Ganapathy
Kaushik is an incoming first-year PhD student at Scripps Research. He holds a Bachelor’s degree in Data Science from UC San Diego. In the past, Kaushik has been involved in research efforts rationalizing mutations in base-editing proteins with Prof. Francesco Paesani and developing agent-based models to help model COVID-19 spread in school environments with Dr. Ilya Zaslavsky. Google Scholar | LinkedIn
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.
Huiwen just joined the lab this year through the Scripps Summer Research Internship program. She is now a sophomore year student at UC San Diego and is majoring in Math and Computer Science. Her work in the lab will be building ODE models of genetic regulatory variation in transcript and protein levels.
Amogh is a junior undergraduate student studying Data Science at UC San Diego. He is joining the lab through the Scripps Summer Research Internship Program. He will work on deriving confidence intervals for the estimates of genetic regulatory variation in each gene in a population, and apply his estimation method to data from the Genotype Tissue Expression project (GTEx).
Now: Johns Hopkins MD-PhD Program