The Department will host an Open House for prospective graduate students on Saturday, November 1, 2014. The global demand for professionals and academics with advanced training in the statistical sciences is extremely strong and continues to grow. This event will provide students potentially interested in graduate study in biostatistics and statistics with an opportunity to learn about our programs, to meet with current students, faculty, and program alumni, and to gain some perspective on the many career opportunities this exciting field has to offer.
The Department is pleased to announce a new graduate offering for fall 2014 - the PhD in Statistics with a concentration in Bioinformatics and Computational Biology. Doctoral students accepted to this concentration will learn core statistical methods and obtain training in data analysis methodologies and computational skills and techniques necessary for handling “Big Data” in the biomedical and public health sciences. Please visit our Statistics PhD with bioinformatics and computational biology web page for further information.
Human interactions via internet and mobile apps are increasing and ubiquitous among all walks of life. We stand on the cusp of a new opportunity due to: improvements in computing, the rapidly growing ubiquity of smart environments, and a resulting duality in contemporary society, that is, the norm of living simultaneously within virtual as well as geophysical proximal interactions and community contexts. Supported by the National Institute of General Medical Sciences in response to a joint call for Big Data proposals by the National Science Foundation and the National Institute of Health, a multidisciplinary team with PIs Hua He and Naiji Lu from the Department of Biostatistics and Computational Biology and Ann Marie White from the Department of Psychiatric will lead a three-year investigation on modeling the human interactions and their impacts on health and health related behavioral outcomes, along with several other investigators from these departments and the Department of Computer Science at both the University of Rochester and the Rochester Institute of Technology as well as local community leaders. They will be developing new methods to address flaws in conventional statistical models for such between-subject attributes and integrate such information when modeling traditional individual behavioral and health outcomes, or within-subject attributes and associated social dynamics. Their research will greatly facilitate intervention and prevention research in the Big Data era, as more disciplines and research studies embrace the new opportunities afforded by this scientific revolution.
Congratulations to Katie Evans, who successfully defended her PhD thesis, "Extensions to Model-Based Clustering for Mixed-Type Data: A new model framework, variable selection, and outlier identification", on October 18, 2013. Katie's advisors are Drs. Tanzy Love and Sally Thurston.
Congratulations to Dr. Chris Beck, who was selected as the 2013 recipient of the Outstanding Graduate Student Teacher Award, presented at the School of Medicine and Dentistry Convocation, September 12, 2013. The selection of the awardee is based on the instructor’s record of excellence in classroom instruction, as reflected by the letter of nomination from students enrolled in one or more courses in which the teacher has delivered a significant number of lectures and by course-instructor survey evaluations.
We welcome Dr. Tong Tong Wu, who joined the Department in September 2013 as Associate Professor. Dr. Wu received her PhD in Biostatistics from the Department of Biostatistics, UCLA School of Public Health in 2006. Prior positions include postdoctoral researcher in the Department of Human Genetics, UCLA and Assistant Professor in the Department of Epidemiology and Biostatistics at the University of Maryland, College Park in 2007. Dr. Wu is a biostatistician with interests in high-dimensional data analysis; survival analysis; machine learning; computational statistics; computational biology and statistical genetics; and longitudinal data analysis.
Postdoctoral fellow Matthew McCall has been awarded a K99 grant from the National Human Genome Research Institute to develop the statistical methodology necessary to estimate gene regulatory networks. Estimation of these networks is crucial to understanding cellular mechanisms, detecting differences between cell types, and predicting cellular response to interventions. Dr. McCall’s goal is to further our understanding of complex cellular networks by drawing on the fields of statistics, systems biology, and genetics. Dr. McCall's advisor is Dr. Anthony Almudevar.
Several Department faculty were honored at the University's sixth annual Celebration of the "Book" on May 7, 2013. Wan Tang and Xin Tu are editors of Modern Clinical Trial Analysis (Springer, 2013). Drs. Tang and Tu, together with Hua He, are co-authors of Applied Categorical and Count Data Analysis (Chapman and Hall/CRC, 2012). Watch a brief video of the event here.
The Agency for Healthcare Research and Quality (AHRQ) has awarded an R24 grant to a research team led by Dr. Dongwen Wang. This project will tackle the challenging issue of disseminating evidence-based clinical practice guidelines to HIV healthcare providers through integrating various information technologies and social organizational contexts. Dr. Wang and his collaborator Dr. Amneris Luque, an HIV specialist from the Infectious Diseases Unit, have been working in this area for the past seven years and accumulated significant experience and resources. In particular, they have developed an online clinical education program sponsored by the New York State Department of Health HIV Clinical Education Initiative (CEI), and been engaging in dissemination of HIV clinical knowledge with online CME/CNE courses, multimedia learning modules, interactive case simulation tools, and mobile training resources. Serving in dual roles as the Technology Center and the Resource & Referral Center for the CEI program, their team has been collaborating with five other CEI Centers in New York State to disseminate the latest findings from HIV clinical research to frontline healthcare providers. Since its launch in 2008, the CEI online education program has reached out to 31,000 individuals from all 50 U.S. States and 160 countries around the world. Clinicians have completed online training through this program and acquired 2,100 CME/CNE credits. The CEI website (www.ceitraining.org) has recorded 64,000 visits and 278,000 pageviews, and is now consistently ranked by Google and other search engines as a top site for HIV clinical education. This newly funded three-year $900,000 grant from AHRQ will significantly enhance the existing program through developing partnerships, conducting multi-disciplinary dissemination research, building an online repository of HIV/AIDS information products, and evaluating the usability of program resources and their impacts to knowledge translation. Other members of the research team are Terry Doll, Matt Bernhardt, Hung Le, Tom DellaPorta, Monica Barbosu, and Keith Bourgeois.
In honor of and recognition for Jack’s dedication to the University of Rochester, for his lifetime of achievements in several areas of mathematical statistics, and especially for his love of the Statistics graduate program and its students, the Department of Biostatistics and Computational Biology is embarking on an endeavor to endow the creation of the William Jackson (Jack) Hall Graduate Student Fellowship. This is a merit-based fellowship that intends to recognize one or more Statistics doctoral students in their last semester or year of study whose academic record reflects the major cornerstones of Jack’s highly distinguished career. The scholarship announcement in our 2012 Newsletter provides some additional details on the fellowship along with instructions on how to make a gift to this fund.
The Department is deeply saddened to announce the death of Professor Jack Hall on October 14, 2012 at the age of 82. Jack arrived at the University of Rochester in 1969 and remained as an active member of the faculty until his retirement on July 31, 2012. He will be greatly missed by colleagues, students and staff. To learn more about Jack's highly distinguished career and his tremendous impact on colleagues and students, please see the URMC news article and David Oakes's tribute in our 2012 Newsletter.
We are delighted to announce the appointment of Robert L. Strawderman III, ScD, as Chair of the Department of Biostatistics and Computational Biology, effective July 1, 2012.
Robert L. Strawderman III, ScD, chair of the Department of Biostatistics and Computational Biology, has been named a Fellow of the Institute of Mathematical Statistics (IMS). An induction ceremony took place on July 11, 2012 at the 8th World Congress in Probability and Statistics in Istanbul, Turkey. Professor Strawderman received the award for innovative methodological contributions to survival analysis, recurrent events, and small sample asymptotics and their applications, as well as for excellence in editorial service. Each Fellow nominee is assessed by a committee of his/her peers for the award. In 2012, following a review of 47 nominations, 17 were selected for Fellowship. Created in 1935, the Institute of Mathematical Statistics is a member organization which fosters the development and dissemination of the theory and applications of statistics and probability. The IMS has 4,300 active members throughout the world. Approximately 8% of the current IMS membership has earned the status of fellowship.
Professor Jack Hall retired in July 2012 after more than 40 years at the University of Rochester.