Bogdan Pasaniuc develops statistical and computational methods to understanding 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 currently completing Pathology training 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.
Rob Brown is a PhD student in the UCLA Bioinformatics IDP. His research interests lie in population genetics and methods for the analysis of sequencing data. After graduating from Columbia University in 2009 he spent a year as a middle school math teacher before working as a researcher at the University of Michigan.
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.
Claudia Giambartolomei is a post-doctoral fellow in Bogdan’s lab. Her interest is 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 postdoctoral fellow at Mount Sinai Icahn School of Medicine.
Pagé Goddard is an undergraduate at UCLA majoring Molecular, Cell and Developmental Biology with a minor in Religious Studies. Her research interests lie in leveraging GWAS and pathway analysis data for interpretation of clinical disease data. She will graduate in June 2017.
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.
Malika Kumar is a PhD student in the UCLA Human Genetics department. Her research interests lie mainly in developing methods to improve gene discovery in complex genetic and rare Mendelian disorder studies. After graduating from Stanford with a bachelor’s in Human Biology, she spent a year teaching high school science before coming to UCLA.
Ruthie Johnson is an undergraduate student at UCLA majoring in Mathematics of Computation with a minor in Bioinformatics. Her research interests lie in developing data visualization tools for fine-mapping methods. She will graduate in June 2017.
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 Nicholas 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 our group, he received his Bachelor’s degree at UCLA in computer science.
Wen-Yun Yang – PhD, Computer Science, 2013