Ted Gooley received a Bachelor’s degree in Mathematics from Washington State University in Pullman (Go Cougs!). He obtained his Ph.D. from the Program in Applied Mathematics at the University of Arizona in Tucson. After a one-year post-doctoral position at the University of Rochester (New York), he joined the Clinical Research Division at Fred Hutch and has been here since 1992, where he has been involved in numerous studies (both clinical trials and observational studies) in the area of hematopoietic cell transplant. Outside the workplace, Ted enjoys time with his wife and their daughter. He also has a passion for sports and is known to be willing to discuss such matters with anyone who is interested, particularly when it comes to March Madness.
Vicky Wu received her Ph.D. in Biostatistics at the University of Pennsylvania in 2013. Prior to joining Fred Hutch, Vicky worked as a consultant for two and a half years. She joined the Clinical Research Division at Fred Hutch in June, 2016. Vicky has broad experience and expertise in statistical genetics, biomarker analysis and clinical trials. She has worked as the primary statistician/co-investigator in multiple aspects of drug development and clinical trials, including phase II and phase III studies of head and neck cancer, prostate cancer, glioblastoma multiforme, and the observational study of late stage lung cancer and breast cancer, etc. Her major research focus is using complex genetic/biomarker information to optimize trial design and developing efficient statistical algorithms to identify patient subgroups with better/worse responses to a particular treatment. Vicky is also a science fiction fan and writer. Her favorite sport team is Man United, though her husband and son are Gunners.
Mary Redman earned her Ph.D. in Biostatistics at the University of Washington in 2004 and joined Fred Hutch in 2005. She has extensive experience in designing, monitoring, and analyzing cancer clinical trials. She is the lead statistician for the Lung Committee and the Lung-MAP trial in SWOG. She has worked at least 50-60 Phase I, II, and III clinical trials in lung, other solid tumor cancers, and sarcoma and lymphoma. Her area of focus is on clinical trial design incorporating potentially predictive biomarkers.
Wendy Leisenring received her doctorate in Biostatistics at Harvard University in 1992 and joined Fred Hutch in 1993. She collaborates on a wide variety of studies, including randomized clinical trials and prospective and retrospective cohort studies, taking a key role in the design and analysis of such studies. She has a particular interest in infectious disease and other outcomes that are sequelae to the treatment for cancer. Since 2004, she has been the lead statistician for the Childhood Cancer Survivor Study (CCSS) and more recently became the PI of the National Wilms Tumor Late Effects Study.
Tim Randolph earned his Ph.D. in Mathematics at the University of Oregon in 1990 studying functional analysis and operator theory. He worked as an Associate Professor of Mathematics at the University of Missouri-Rolla (now Missouri University of Science and Technology) until 2002 when he came to the University of Washington as PI on an NIH-funded (K25) career transition into biomedical data analysis. In 2006 he joined the Public Health Sciences Division at the Fred Hutch as a Senior Staff Scientist, then Principal Staff Scientist (2013), before joining the Clinical Research Division as an Associate Member in 2016. His current research has grown out of a variety of collaborations at the Fred Hutch and UW focusing on statistical methods and machine learning for analysis of high-dimensional and structured data such as microbiome, metabolomics, genomics, proteomics, and neuroimaging.
Kelsey Baker attended Saint Martin’s University and the University of Pittsburgh earning a B.A. in Mathematics and an M.S. in Biostatistics. She was born and raised in Spokane, but has a new found love for western Washington and Seattle living. When she is not providing statistical support for Phase II clinical trials at the Hutch, you can find her exploring the diverse opportunities found in the Pacific Northwest such as scaling Mt. Rainier and enjoying a cone at Molly Moons.
After spending years in Glasgow, Xinyi Fan earned a B.A. in statistics from University of Glasgow and went to Duke University for her M.S. in biostatistics (and tons of sunlight you never see you Glasgow). She joined Fred Hutch in 2022, directly from graduating in May. Her interest includes programming, genomic statistics and survival analysis. Outside the work, you will find her in the dance studio all the time, sometimes in LA for some advanced training. You can also find her snowboarding in winter and paddling (hopefully surfing) in summer.
Dan Hippe has a B.S. in Electrical Engineering and M.S. in Statistics from the University of Washington. Before coming to the Fred Hutch, he worked in the Department of Radiology at the University of Washington on imaging-related research projects. Dan enjoys learning about new research topics and working on a variety of projects, including those involving prognostic modeling, time-to-event analysis, and longitudinal or other types of repeated-measures data. Outside of work, Dan enjoys helping out on his family’s chestnut orchard in Lacey, WA, especially with tasks that involve moving heavy objects from point A to point B, a chainsaw, and/or diesel.
After spending time with the US Army as an Infantryman, Isaac Jenkins attained his B.A. in Mathematics and M.S. in Statistics at the University of Arizona. He later came to Fred Hutch to further expand his detail oriented approach to statistics. His research interests include R-programming, reproducible research and data visualization. But his most valued achievement comes in the form of beating Sonic the Hedgehog without dying (he even collected all the Chaos Emeralds).
Kevin Ng earned a B.A. in Mathematics from Oberlin College and an M.S. in Biostatistics from OHSU-PSU School of Public Health. After working for a period in injury law as a case manager reviewing clients’ musculoskeletal chart notes, Kevin worked with the Biostatistics & Design Program at Oregon Health & Science University, providing biostatistical support to a wide variety of health sciences investigators. When he is not reinforcing his conceptual understanding across the range of data methodologies and paradigms, he is probably foraging with family at a U-Pick farm, watching videos about the history of video games, or jogging outside while listening to podcasts.
After graduation from Shanghai, China, Ningxin Ma came to study at the Penn State University and earned her Ph.D. in Neuroscience with a minor in Statistics. She later received a M.S. in Biostatistics from the University of Washington and joined Fred Hutch in 2021. Her research interests include high-dimensional data, such as sequencing and microbiome data analysis. She enjoys her spare time biking, hiking and traveling, and cannot accept a staying-in on a sunny weekend.
Lynn Onstad has a B.A. in Mathematics from St. Olaf College and a Sc.M. in Biostatistics from the Johns Hopkins Bloomberg School of Public Health. She worked for 2 years at the GWU Biostatistics Center in Maryland before moving to Seattle in 1991, at which point she started working at Fred Hutch and has been here ever since. After working for many years in the Public Health Sciences division, she recently joined the Clinical Biostatistics group. Outside of work Lynn enjoys spending time with family and friends and taking advantage of all the great outdoor activities the northwest has to offer.
Phil Stevenson attended the University of Arizona where he earned a B.S. in Math and Communications in 1999 with a minor in Music Composition, a Master’s in Education in 2001, and a Master’s of Science in Statistics in 2013. Clearly from his eclectic (or indecisive) educational background, he has myriad interests which range from sports, movies, crossword puzzles, and writing run-on sentences. Phil mainly works with transplantation data at the Hutch, where he employs such methods as Cox regression, logistic regression, and competing risks analysis.
Jenna Voutsinas, originally from Ohio, earned a BSBA from the Kenan-Flager Business School at the University of North Carolina at Chapel Hill, and later went on to complete a Master's degree from the University of California, Los Angeles in Epidemiology. She worked at the City of Hope as a biostatistician before coming to Fred Hutch in 2017, where she focuses on immunotherapy research. Other interests include boating, skiing, and traveling — having traveled to her 30th country last year.
Hu Xie received her M.S. in Biostatistics at the University of Albany in 2004. She was working on addiction studies at the University of Pennsylvania before joining the Clinical Research Division at Fred Hutch in 2008. Since then she researches infectious diseases in hematopoietic cell transplant patients. She fills in the rest of her time with cooking, traveling, and movies.