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.

Brian Liu

brianliu at berkeley dot edu

Brian is studying math and biology with a minor in CalTeach and Global Poverty and Practice at UC Berkeley. In the Moorjani Lab, he is working on estimating mutation rates across primates and comparing them to gain insight into the evolution of molecular clock.

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.

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.

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.

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.