Current Students

2018 All Students at Faculty Club


  • Matt (Ruohui) Chen

    Matt (Ruohui) Chen

    Life is a journey full of adventures and Matt always want to explore more! Before pursuing the PhD at UCSD, he studied biostatistics at University of Pennsylvania. Matt did his master thesis "Kidney Allograft Offers: Predictors of Turndown and the Impact of Late Organ Acceptance on Allograft Survival" under the instructions of Prof. Justine Shults and Dr. Jordana Cohen. Besides that, he also collaborated with Prof. Pam Shaw in area of longitudinal data analysis, and with Prof. Li Mingyao in area of gene therapy. His research interests are mainly in the area of longitudinal data analysis, survival analysis and causal inference, but he would also love to explore more in some other areas, such as high dimensional data analysis, and developing advance statistical methods.  In his spare time, he is a big fan of basketball, and loves traveling.

  • Tuo Lin

    Tuo Lin

    Tuo comes from southern part of China. He came to the U.S. to pursue his bachelor degree at age 18, and his first destination was UCSD. He obtained both Bachelor of Science degree in Applied Mathematics and bachelor of art degree in Economics in UCSD. After that, he obtained his Master’s degree in statistics in UCSD. During his Master’s, he worked at ACTRI in UCSD as a Graduate Student Researcher for one year. He has also co-authored in several papers applying semiparametric models, especially the ones using semiparametric GEE analysis in longitudinal data. His research interests lie in longitudinal analysis, semiparametric models and causal inference. In his spare time, he likes playing basketball, singing and swimming.

  • Anubhav Singh Sachan

    Anubhav Singh Sachan

    Anubhav is fascinated by how the analysis of data can shed light on complex phenomena and play an important role in scientific discoveries. He grew up in Mexico City and attended the National Autonomous University of Mexico where he obtained a bachelor's degree in Applied Mathematics and Computing. After working for over a year as a statistician at a market research company, he decided to return to academia and pursue a master's degree in Statistics at Imperial College London. Whilst there, he spent some months researching Bayesian non-parametric methods that could be used on single-cell sequencing gene expression data to detect dependence between genes. Currently, Anubhav's main interests are Bayesian Analysis, Statistical Genetics and Predictive Modelling. He also enjoys travelling and watching documentaries about prehistoric wildlife.

  • Tyler Vu

    Tyler Vu

    Tyler was born and raised in Orange County, California where he obtained his bachelor’s degree in applied mathematics at California State University, Fullerton. Previously, he was a data analyst intern at the Southern California Coastal Water Research Project. Tyler developed his interest in biostatistics by participating in the 2017 Summer Program in Biostatistics and Computational Biology at Harvard University where he worked with Dr. Sherri Rose. In 2018, he spent an additional summer working with the biostatistics department at Harvard University working with Dr. Victor De Gruttola. At CSUF, he participated in research projects related to environmental statistics, feature level fusion and financial mathematics. In his free time, he enjoys watching TV shows, NFL football and NBA basketball.

  • Yiran Zhang

    Yiran Zhang

    Yiran is an outgoing girl come from China.  She received her bachelor’s degree in applied mathematics at South China University of Technology and obtained her master’s degree in biostatistics at Emory University. She worked at the transplant center at Emory University’s School of Medicine which inspired her passion to combine statistical methods and human health, especially in the area of women’s health. Her recent work uses a variable selection model for censored data to validate and improve the staging system for breast cancer.  She is also interested in high dimensional data analysis, optimization problem and survival analysis. In her free time she likes to practice yoga and singing.


  • Ruifeng Chen

    Ruifeng Chen

    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 Hansen

    Kristen Hansen

    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) Jian

    Lingjing (Serene) Jian

    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

    Wenyi Lin

    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 Liu

    Jinyuan Liu

    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 Kwan

    Brian Kwan

    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.

  • Yuqi Qiu

    Yuqi Qiu

    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

    Anya Umlauf

    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 here.

    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.