Bogdan Pasaniuc develops statistical and computational methods to understand the genetic basis of disease, focusing on integrative genomics, heritability and population structure. Before UCLA, Bogdan was a postdoc at Harvard School of Public Health and in the Program in Medical and Population Genetics at the Broad Institute in the group of Alkes Price. Prior to that, Bogdan completed a postdoc at International Computer Science Institute in Berkeley CA. Bogdan obtained his Ph.D. in Computer Science from the University of Connecticut working in the lab of Ion Mandoiu and B.Sc. from the Faculty of Computer Science, “A.I. Cuza” University of Iasi, Romania in 2003. Recently updated resume.
Valerie Arboleda is a pathologist in the Department of Pathology and Laboratory Medicine at UCLA. She completed her MD and a PhD in Human Genetics as a part of the Medical Scientist Training Program (MSTP) at UCLA where she coupled next generation sequencing with in vivo model organisms to identify causative genes in rare Mendelian disorders. Her current interests are focused on leveraging GWAS and functional annotation of genome-wide data for the interpretation of clinical sequencing data.
Kathy Burch is a PhD student in the UCLA Bioinformatics IDP. Her research interests lie in developing statistical methods to understand the genetic basis of complex diseases. Prior to joining the group, she received her Bachelor’s in Computational and Systems Biology from UCLA.
Malika Kumar Freund is a PhD student in the UCLA Human Genetics department. Her research interests lie in studying the shared genetic basis of complex genetic traits and rare Mendelian disorders. Prior to joining the group, she received her bachelor’s degree from Stanford in Human Biology and taught high school math and science in the Bay Area.
Claudia Giambartolomei is a post-doctoral fellow in the Department of Pathaology and Laboratory Medicine. Her interest is in finding new ways of integrating large-scale genomic data to improve our understanding of the molecular mechanisms leading to differences in phenotypes and disease risk in human biology. Prior to joining the lab, she worked on integrative methodologies in cardiovascular disease at University College of London where she received her PhD, and in psychiatric disorders as a post-doctoral fellow at Mount Sinai Icahn School of Medicine.
Ruthie Johnson is an graduate student at UCLA in the Computer Science department. Her research interests lie in developing data visualization tools for fine-mapping methods.
Gleb Kichaev is a PhD student in the UCLA Bioinformatics IDP. His research interests are in statistical genetics, with a focus on methodologies that are relevant to medical applications. After completing his Bachelor’s Degree at UC Santa Barbara in 2010, he spent two years researching next-generation genetic vaccines at a biotech firm in San Diego. Prior to joining the Bioinformatics PhD program he obtained a MS in Biostatistics at UCLA.
Megan Major is a PhD student in the UCLA Bioinformatics IDP. Her research interests are in the effects of common and rare variants in complex disease, and in devloping methods to understand complex disease. Prior to joining the group, she received her Bachelor’s degree from Brigham Young University in Bioinformatics, with minors in Computer Science and Mathematics.
Arunabha Majumdar is a post-doctoral fellow in the Department of Pathology and Laboratory Medicine working with Dr. Pasaniuc. He is interested in developing statistical methods to gain novel insights into genetic architecture underlying complex human traits. Prior to joining UCLA, he was a post-doctoral fellow in Prof. John Witte’s lab at UCSF.
Nick Mancuso is a post-doctoral fellow in the Department of Pathology and Laboratory Medicine at UCLA working with Bogdan Pasaniuc. He is mainly interested in population genetics for both human and heterogeneous virus populations (HIV, HCV) in addition to general sequence analysis. Prior to joining UCLA Nick was a PhD student under the tutelage of Alex Zelikovsky at Georgia State University.
Megan Roytman is a PhD student in the UCLA Bioinformatics IDP. Her research interests lie mainly in developing methods in population genetics, with a focus on medical applications. Prior to coming to UCLA, she received her Bachelor’s and Master’s of Engineering at MIT in bioengineering and computer science.
Huwenbo Shi is a PhD student in the UCLA Bioinformatics IDP. His research interest lies in developing computational methods for analyzing large-scale genomic data to understand the underlying genetic architectures of complex traits. Prior to joining the group, he received his Bachelor’s degree at UCLA in computer science.
Pagé Goddard – BSc, Molecular, Cell and Developmental Biology, 2017
Rob Brown – PhD, Bioinformatics, 2017
Wen-Yun Yang – PhD, Computer Science, 2013
Visiting & Rotating Members
James Boocock – Fall 2016
Kikuye Koyano – Spring 2016
Sarah Spendlove – Summer 2016
Sasha Gusev – Summer 2015