jwitte ‘at’ ucsf.edu, 415-502-6882
John is Professor of Epidemiology and Biostatistics, and Urology, Head of the Division of Genetic and Cancer Epidemiology, Associate Director of the Institute for Human Genetics, and co-Leader of the Cancer Genetics Program at UCSF. He obtained a BS in Mathematical Sciences, a MS in Industrial Engineering and Operations Research, and a PhD in Epidemiology (with Sander Greenland at UCLA). Before joining the faculty at UCSF in 2003, he did a post-doc in Biostatistics and spent eight years on the faculty at Case Western Reserve University. In addition to work, he enjoys spending time with his family and friends, outdoors, and in the swimming pool!
chenan.zhang ‘at’ ucsf.edu
Chenan Zhang completed her Ph.D. in Epidemiology at the University of Chicago’s Department of Public Health Sciences in 2016. She has a BS in Biochemistry and Zoology from the University of Florida and an MS in Marine Science from the University of Texas at Austin. Her doctoral research focused on the role of telomere length as a prospective biomarker of cancer risk. As a postdoc in the Witte Lab, her research will involve investigating genetic variants associated with active surveillance failure for prostate cancer. She will also work with Kyle Walsh in the Division of Neuroepidemiology on genetic susceptibility to pediatric glioma. In her free time, Chenan enjoys tending to her heirloom tomato plants, mushroom hunting, and working out at the gym.
Emmalyn.Chen ‘at’ ucsf.edu
Emmalyn is a PhD student in the Pharmaceutical Sciences and Pharmacogenomics (PSPG) program at UCSF. In 2014, she obtained a BS in Bioengineering from UC Berkeley. She is generally interested in using genomic data to better understand disease risk and progression. Specifically, she wants to investigate genetic variants that are driving a multiple cancer phenotype. Outside of the office, you will find her watching nature documentaries, top-rope/bouldering, eating seafood, and hanging out with her cats.
jean.costello ‘at’ ucsf.edu
Jean Costello is a PhD student in the Bioinformatics program. She received her BA in Mathematics from the University of Minnesota in 2014 and worked as a software developer for three years before enrolling in graduate school. She is interested in exploring the relationship between environmental exposures and preterm birth. When not at work, she enjoys making origami, playing piano, and hiking.
linda.kachuri ‘at’ ucsf.edu
Linda Kachuri joined the Witte lab in February 2018, shortly after completing her PhD in Epidemiology at the University of Toronto under the supervision of Dr. Rayjean Hung. She received an MPH in Epidemiology, also from the University of Toronto in 2012, and a BSc in Psychology from McGill University in 2010. Linda's doctoral research explored the role of rare variants in chromosome 5p15 and telomere length in lung cancer risk and progression. In addition to genetic epidemiology, she is also interested in environmental and occupational cancer risk factors. As a postdoc, Linda is looking forward to working on collaborative projects in prostate cancer, and leveraging genetic and molecular data to gain insight into the mechanisms of cancer etiology and progression. Outside of work Linda enjoys travelling, photography, and exploring the local food scene.
sara.rashkin ‘at’ ucsf.edu
Sara completed her PhD in Biostatistics at the University of Michigan in December 2015 and joined the lab in January 2016. She received her BA in Statistics from Northwestern University in 2009. Under the mentorship of Dr. Gonçalo Abecasis, her graduate research focused on methods for sequence based studies of complex traits. She worked to determine optimal sequencing strategies for studying very rare variants. She also developed a method for determining copy number variation in a region for a sample of individuals using sequence data. Outside of work, Sara enjoys reading and cooking.
taylor.cavazos ‘at’ ucsf.edu
Taylor is a PhD student in the Biological and Medical Informatics (BMI) program at UCSF. She received her BS in Bioengineering: Bioinformatics at UCSD in 2017. She is currently researching the genetic implications of disease progression in low-risk prostate cancer. In general, Taylor is interested in developing computational tools that integrate multi-omic datasets to advance the treatment and understanding of cancer. Her favorite activities are hiking, wakeboarding, and spending time at the beach.
travis.meyers ‘at’ ucsf.edu
Travis completed his MPH and PhD in epidemiology at the UCLA Fielding School of Public Health and joined the Witte Lab in 2017. He earned a BA in biology from Whitman College in Walla Walla, Washington. Dr. Zuo-Feng Zhang supervised Travis’s doctoral research on cumulative cigarette tar exposure, genetic variants, and their interactions on susceptibility and survival of lung and upper aerodigestive tract cancers. Travis is interested in genome-wide association studies as well as gene-environment interaction for cancer risk and progression. A Sacramento native, he enjoys running, tennis, hiking, and spending time with friends and family.
Former Lab Members (& Current Employer)
- Adam Reese, Johns Hopkins
- Arunabha Majumdar, UCLA
- Audrey Schnell, Consultant
- Bonnie Fijal, Roche Molecular Systems
- Caroline Tai, Evidation Health
- Cheryl Thompson, Case Western Reserve University
- Clinton Cario, Avail Bio
- David Conti, University of Southern California
- Fred Schumacher, University of Southern California
- Gary Chen, University of Southern California
- Inga Hallgrimsdottir, UC Berkeley
- Jill Hardin, AMGEN
- Jinghua Liu, Philips Healthcare
- Joel Mefford, UCLA
- Joshua Hoffman, GlaxoSmithKline
- Karla Lindquist, UCSF
- Lancelote Leong, The Parker Institute
- Li-Lian Kim, Merck
- Longyang Wu, Affymetrix Inc.
- Michael Passarelli, Dartmouth College
- Niall Cardin, Google Analytics
- Nima Emami, Avail Bio
- Nora Nock, Case Western Reserve University
- Phil Ross, Private Practice
- Rebecca Graff, UCSF
- Remi Kazma, Centre National de Génotypage, France
- Sanoj Punnen, UCSF
- Tobias Nordström, Karolinska Institutet
- Victor Virlogeux, Ecole Normale Supérieure de Lyon
- Vincent Fradet, Laval University
- Xin Liu, Northwestern University
- Yi-Hsuan (Joyce) Wu, UC Davis
- Yu Chuan Tai, Roche