Sandhya Dwarkadas received her B. Tech degree from the Indian Institute of Technology in Madras, India in 1986, and she earned her MS and PhD degrees from Rice University in 1989 and 1993. She joined the faculty at the University of Rochester in September 1996 and was named chair of the computer science department in 2014. Her research interests lie in the areas of parallel and distributed computing, computer architecture, and networks, and in the interaction and interface between the compiler, runtime system, and underlying architecture. She has conducted research in several areas, including software distributed shared memory, integrated compiler and runtime support for parallelism, simulation methodology, uniprocessor and multiprocessor architectures, parallel applications development, and performance evaluation.
Tim Dye is a professor of obstetrics and gynecology and director of biomedical informatics at the Clinical and Translational Science Institute. He is also an anthropologist-epidemiologist specializing in applied public health. His work focuses on improving our understanding of complex maternal and child health problems through the creation and analysis of large integrated datasets. He is also interested in how technological innovation can improve health locally and around the world. Dye has received project funding from national and international organizations, and his work spans more than 20 countries. It also helped establish birth and immunization registries in New York State, which provided a foundation for his interest in integrating genetic, molecular, electronic, and public health information.
Cynthia Ebinger is a professor of earth and environmental science. She received her PhD in Oceanography from MIT/WHOI. Her current research aims to understand the partitioning of strain between faulting and magmatic processes within continental and oceanic rift zones, over time scales of hours to millennia. Her multi-disciplinary research team uses data to develop predictive models of volcano-tectonic crises to mitigate natural hazards.
Paul Ellickson is a professor of economics and marketing at the University of Rochester's Simon School of Business. His research focuses on quantitative marketing and empirical industrial organization. He teaches courses on data analysis and competitive strategy. Professor Ellickson’s research interests lie at the intersection between quantitative marketing and industrial organization, with a focus on using structural modeling to understand the forces that drive strategic interaction and optimal decision making. He is particularly interested in modeling the importance of dynamic and spatial competition in retail trade.Ellickson’s research has been published in various academic journals including the RAND Journal of Economics, Marketing Science, the Journal of Marketing Research, Quantitative Marketing and Economics, and the International Journal of Industrial Organization.
Gourab Ghoshal is an assistant professor of physics and astronomy with joint appointments at the departments of computer science and mathematics. He comes to us from Harvard University, where he was a Research Scientist at the department of earth and planetary sciences and a member of Harvard's multidisciplinary Origins of Life initiative. Ghoshal is a statistical physicist and works in the field of Complex Systems. His research interests are in the theory and applications of Complex Networks as well as Non-equilibrium Statistical Physics, Game theory, Econophysics, Dynamical Systems and the Origins of Life. He is the editor of a book on Complex Networks (published by Springer) and his work has been published in Nature, Science and Physical Review Letters.
Alex Iosevich is a professor of mathematics. He joined the University of Rochester in in 2010. He received his PhD in Pure Mathematics from the University of California at Los Angeles in 1993. His research interests include classical analysis and fourier integral operators, geometric combinatorics and geometric measure theory, additive and analytic number theory, and convex geometry and probability theory.
After earning a PhD in computer and information sciences from the University of Massachusetts at Amherst, Robert Jacobs completed two postdoctoral fellowships, one in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology and the other in the Department of Psychology at Harvard University. Jacobs is currently a professor of brain and cognitive sciences at the University of Rochester. His research program combines computational modeling and experimental studies to investigate human perception and cognition in both visual and multisensory (visual-haptic, visual-auditory) environments.
Amanda Larracuente is an assistant professor of biology and the major advisor for biological sciences – computational biology. She earned her Ph.D. studying Drosophila genomics and sex chromosome evolution in Dr. Andrew Clark’s lab at Cornell University. Amanda’s lab integrates genomic, cytological and molecular approaches to study selfish DNA and its impact on genome evolution. Her primary interest is in satellite DNA (repetitive DNA typically found at centromeres and telomeres) and meiotic drive.
Brendan Mort is the director of the Center for Integrated Research Computing (CIRC) and an assistant professor at the University of Rochester. He received a PhD in computational chemistry from the University at Buffalo, where he was a National Defense Science and Engineering Graduate Fellow. His personal expertise is focused on the use of high performance computing and big data technologies for analyzing chemical and biological systems. As a member of the faculty in the chemistry department, his research interests have led to collaborations in the exploration of simulations for the elucidation of structure-function relationships in biomolecular systems and the development of accurate methods for the calculation of molecular response properties.
Curt Signorino (PhD Harvard, 1998) is an associate professor of political science and the director of the Theory and Statistics Research Lab (the Star Lab) at the University of Rochester. His current research develops statistical methods for structural and nonparametric estimation of strategic choice models (e.g., game theoretic models). His research also involves developing statistical methods for modeling temporal dependence in event history models. In addition, he examines aggregation bias in indices of power and democracy. Signorino’s publications have appeared in the American Political Science Review, the American Journal of Political Science, International Interactions, International Studies Quarterly, the Journal of Conflict Resolution, Political Analysis, and Political Studies. He has been awarded the Miller Prize for the best article published in Political Analysis and the Gosnell Prize for the best methods paper presented at a conference.
Rob Strawderman (ScD, 1992, Harvard University) is the Donald M Foster MD Distinguished Professor of Biostatistics and Chair of the Department of Biostatistics and Computational Biology in the School of Medicine & Dentistry. Strawderman held faculty positions at the University of Michigan at Ann Arbor and Cornell University (Ithaca) prior to coming to Rochester; he is a Fellow of both the American Statistical Association and the Institute of Mathematical Statistics. Current research interests include the development of statistical learning methods with applications to cancer risk prediction and survival analysis and the development of statistical and computational modeling tools for high dimensional data; other research interests include semiparametric models, statistical inference for stochastic processes, statistical computing and asymptotic approximation. He also has been extensively involved in collaborative research, working with researchers on problems in cardiology, demography, epidemiology, idiopathic pulmonary fibrosis, health services and health care policy, nutrition, and renal failure.
Andrew White is an assistant professor in the department of chemical engineering. He completed a PhD in chemical engineering at the University of Washington in 2013. The thesis topic was the creation of non-fouling surfaces with computational modeling. White and his research group use experiments, molecular simulations, and machine-learning to design new materials. Experiments answer the essential question of if and how well a material works for a particular application. Molecular simulation provides the molecular insight into why a material works. Machine-learning provides the tool to optimize a material so that it works best.
Martin Zand is a professor of medicine in the Division of Nephrology at the University of Rochester. He is the medical director of the Kidney and Pancreas Transplant Programs, and co-director of the Center for Biodefense Immune Modeling. Dr. Zand graduated from Northwestern University with an undergraduate degree in biomedical engineering, a PhD in cell, molecular, and structural biology, and a medical degree. He completed his residency in internal medicine and a fellowship in nephrology at Beth Israel Medical Center and Harvard University in Boston. He joined University of Rochester Medical Center faculty in July 1998 as medical director of the Kidney and Pancreas Transplant Programs. Dr. Zand has a clinical practice in Transplant Nephrology and Transplant Medicine, and sees patients with kidney and other solid organ transplants.