Ruifeng comes from China. He studied Statistics at University of Wisconsin Madison where he completed his Masters prior to arriving at UCSD. In his undergraduate phase, he went to Kenya and spent one and a half months teaching primary school students in bustee. He was motivated to continue graduate studies in Biostatistics by doing research finding differential distributed genes with a method “scDD” during his last years’ experience at UW-Madison. In his free time, Ruifeng likes playing basketball and traveling.;
Kristen was born and raised in central Minnesota, where she likes to frolic in the snow in winter and fallen leaves in autumn. She graduated with a bachelor's degree in Statistics and Psychology from University of Minnesota, Morris. Previously, she has attended an REU program (2016) in High Performance Computing at University of Maryland, Baltimore County working with large scale precipitation data and attended a Summer Institute in Biostatistics Program at the University of Wisconsin, Madison in 2015. In her spare time, she likes to practice Yoga, pet all of the dogs she sees, as well as sing (Mezzo Soprano) and play classical piano. She loves board games and major league baseball on the occasional free evening.
Lingjing (Serene) Jiang
Statistics is a science as well as an art to Lingjing (Serene): she enjoys digging into the mathematical world for understanding the underlying theories and developing novel statistical methods; she also loves presenting and communicating statistics to the public. Serene grows up in Shanghai, China, and she received her bachelor degree in translation from Chinese University of Hong Kong, and her master degree in statistics at University of California, San Diego. Serene is especially interested in developing new statistical and mathematical tools for analyzing high dimensional medical data to bring more insights into the scientific understanding of human and environmental health. In her free time, Serene likes cooking, exploring different cuisines and inviting friends for tasting.
Wenyi Lin is from China. Prior to beginning her PhD program in UCSD, she received her master of science in Biostatistics at Johns Hopkins University. She also received her bachelor of science in Information and Computing Science at Zhejiang University in China. She applied latent variable models on Nepal infant’s respiratory infection data for her master thesis. Her research interests lie in latent variable analysis, time series and image analysis. Wenyi enjoy playing chess in her free time.
Jinyuan obtained her Master’s degree from University of Rochester. She worked at CTRI and Center of Aging in UCSD as a statistician before starting her PhD studies. She has worked on some methodological projects on causal inference and social networks. Her research interests lie primarily in the areas of longitudinal data analysis, causal inference etc. And her ultimate career goal is to conduct statistical inference in advanced studies, especially in an academic position in biostatistics, which can help people improve the understanding of human illness and health. She loves music, traveling and cooking in her spare time.
Brian grew up in Los Angeles County. One of his personal favorite accomplishments was finishing a marathon before graduating high school. Previously, he attended the Summer Institute for Training in Biostatistics at the University of Pittsburgh in 2015. After that experience, he became determined to begin graduate studies in biostatistics. His favorite quote is “The best thing about being a statistician is that you get to play in everyone’s backyard” by John Tukey. In his free time, Brian enjoys running and watching NBA basketball.
Hanjie is from China. He is currently working on image analysis in liver cancer research with Professor Armin Schwartzman. Last year he worked at the UCSD Moores Cancer Center as a statistician and published R package 'gcerisk' for generalized competing risk model. His research interests lie in image analysis, statistical learning, and competing risk model and cancer research.
Yuqi Qiu was born and raised in southern China. He came to the United States to pursue his master degree at the age of 21. Prior to beginning the PhD program at UCSD, he received his master of science in biostatistics at Case Western Reserve University. He received his bachelor degree in International Economics and Trade from Beijing Normal University. Yuqi has co-authored in a paper titled A Generalized Class of Exponentiated Modified Weibull Distribution with Applications, which presents mathematical properties of two new classes of distributions and describe applications to real life data sets. This paper has been accepted for publication by the Journal of Data Science. For his master thesis, he did a longitudinal study examining the effect of vitamin D intake on human skin thickness and erythema. In his free time, he loves traveling around the world and playing basketball.
Anya Umlauf has graduated from the San Diego State University with a bachelor's degree in Mathematics and a master's in Statistics. Currently a senior statistician for the HIV Neurobehavioral Research Program (HNRP) at the University of California, San Diego, she collaborates with US and international researchers on studying genetic, neurovirologic, neuromedical, neurobehavioral, and neuroimaging data. The complete list of published scientific manuscripts that Anya contributed to can be found
In addition, Ms. Umlauf has been teaching statistics since 2007. Most recently, she is a lecturer for Master of Advanced Studies (MAS) Programs in Clinical Research (CREST) and Leadership in Healthcare Organizations (LHCO), UCSD. In her free time Anya enjoys spending time with family and friends. She loves photography, being outdoors, traveling, dancing, and eating good food.