Priya Moorjani

Assistant Professor
Dept. of Molecular and Cell Biology
Center for Computational Biology
moorjani at berkeley dot edu

Priya did a bachelors in Computer Engineering at the University of Mumbai and M.S. in Bioinformatics at George Washington University. She received her Ph.D. in Genetics from Harvard University, working with David Reich and Nick Patterson. She did her postdoc with Molly Przeworki at Columbia University. She moved to Berkeley in 2018.

Rémi Tournebize

Postdoctoral Researcher
rtournebize at berkeley dot edu

Rémi has a MSc. and a PhD (2014) in Evolutionary Biology and Ecology from the University of Montpellier. During his PhD, he developed novel modeling approaches to learn about the history of demographic changes and selection events that shaped contemporary genetic diversity in plant species (Amborella trichopoda, Coffea canephora) and human populations of European and African ancestry. For his postdoc, he is developing new methods to characterize the properties of founder events in admixed populations, and to assess their role in shaping genetic diversity and driving recessive diseases.

Manjusha Chintalapati

Postdoctoral Researcher
m_chintalapati at berkeley dot edu

Manjusha received a Bachelors of Technology (B.Tech) in Biotechnology from Andhra University, India and Masters of Technology (M.Tech) in Bioinformatics from the University of Hyderabad, India. She received her Ph.D. (2018) in Bioinformatics from the Max Planck Institute for Evolutionary Anthropology, Leipzig, where she was working with Dr. Kay Prüfer and Prof. Peter Stadler. Her dissertation was on the studying the evolution of indels and large scale structural variants in ancient hominins (Neandertals and Denisovans), modern humans and other primates. For her postdoc, she is involved in developing methods for dating admixture and studying evolutionary forces such as mutation rate and its variation across species.

Suhn Hyoung (Sean) Kimlrg_dsc03086.jpg

suhnkim at berkeley dot edu

Sean is studying Materials Science Engineering at UC Berkeley. His previous research experience was at UC Irvine under the guidance of Professor Rachel Martin where he studied the novel proteases in the carnivorous plant D. capensis and their binding specificities. In the Moorjani lab, Sean is working on methods for for characterizing local ancestry inference in admixed populations.

Enya XingD46C07F4-FB31-442A-9F24-64066F64E22E

enyaxing at berkeley dot edu

Enya is studying Computer Science at UC Berkeley. Her previous research experience was at UC Davis under Professor Justin B. Siegel looking at computational enzyme design and improving upon protein prediction algorithms. In the Moorjani lab, Enya is working on identifying signals of natural selection and human adaptation using simulations of past and present-day genomes.

Mehreen Mughal

Visiting Scholar
mehreenrmughal at gmail dot com

Mehreen received a B.A. in Genetics from Rutgers University and M.S. in Bioinformatics from Georgetown University. She is currently working toward a Ph.D. in Bioinformatics and Genomics from The Pennsylvania State University and will be joining the Moorjani lab as a postdoc in Summer 2020. Her dissertation focuses on developing statistical methods to leverage spatial distribution of genetic variants to identify and learn about genomic regions under positive selection.

Gillian Chu

gillichu at berkeley dot edu

Gillian is studying Computer Science with a minor in Bioengineering at UC Berkeley. Her previous research experience was at the Marshall Lab, where she worked on optimizing models of infectious disease transmission, specifically studying gene drives in clustered landscapes. In the Moorjani lab, Gillian is working on methods for characterizing signatures of admixture events in humans.

Rotation Students

Hunter Nisonoffhmn_for_moorjani_lab

hunternisonoff at gmail dot com

Hunter graduated from Duke University with a B.S. in Mathematics. At Duke, he developed algorithms for free-energy computation with applications to protein design. Most recently, Hunter worked at D. E. Shaw Research where he conducted simulation-based drug discovery research and developed predictive and generative machine learning models for drug-discovery. In the Moorjani lab, Hunter is working on developing machine learning algorithms for local ancestry inference.

headshotKailey Ferger

kailey_ferger at berkeley dot edu

Kailey is a first year student in the Computational Biology PhD program at Berkeley. She graduated the University of Rochester with a B.S. in Computational Biology and a minor in Brain and Cognitive Science. At Rochester, Kailey studied the developmental patterns of Spiralian organisms and discovered evidence against against the widely known hourglass model of development in these organisms. Kailey’s research has also spanned the areas of cancer biology and microRNAs. In the Moorjani lab, Kailey is studying the differences in mutational signatures between human populations and their causes.

headshotYun Deng

yun_deng at berkeley dot edu

Yun is a first year PhD student in the program of Computational Biology at UC, Berkeley. He earned his B.S. in Mathematics and in Biological Sciences from the University of Chinese Academy of Sciences (UCAS) in 2019. At UCAS, he worked on Hi-C data analysis, evolution of recombination systems and regulatory genetics of brain evolution. Most recently in Moorjani’s lab, Yun is trying to use refined dating methods to understand the timing of human specific duplications and their functional role in human brain development in order to better understand the origin of high cognitive abilities in humans.

Andrew VaughnVaughnPicture

ahv36 at berkeley dot edu

Andrew is a first year PhD student in the Computational Biology PhD program at UC, Berkeley. He earned his BA in Mathematics from Cornell in 2019, with minors in biology, computer science, and history. At Cornell, he worked with Philipp Messer on studying how population structure induced by heterogeneous resource dispersal affects the coalescence process. In the Moorjani lab, Andrew is examining how ancient human DNA time series data can be leveraged to better understand the role of selection on Neanderthal introgressed variants.

Group Photos

Lab lunch and Boba, 2020

Image from iOS (2)


At Computational Biology Retreat, 2019



Lab Picnic with Submant Lab, 2018