Jessica Sidman works at the intersection of algebra, geometry, and computation. In particular, she is interested in applications of computational algebraic geometry, which is a fancy way of saying that she likes seeing how to use a computer to solve problems with polynomials. Her current research is focused on using algebraic methods to analyze systems of geometric constraints that arise in rigidity theory, a subject with many applications including robotics, protein folding, and computer-aided design.
Tim Chumley is a probabilist interested in working on models that arise in physics, engineering, and other areas. In the past, much his work has focused on Markov chain models which can be generically called random billiards. His work on probabilistic limit theorems for these models aims to provide a framework for detailed study of realistic physical models of phenomena in kinetic theory of gases and classical statistical mechanics. In addition, he is interested in random walks in random media, differential geometry, and stochastic processes on manifolds.
Janice A. Gifford
Carrie Hosman is a statistician whose research involves creating methodologies for causal inference and observational studies, specifically involving applications in the medical and social sciences. She has applied these methods to sociological studies of neighborhood disparities and medical studies of cardiology procedures. In addition to research, she enjoys teaching statistics at all levels - from introductory courses to upper level courses in survey sampling and probability methods.
Alanna Hoyer-Leitzel does research in applications of dynamical systems. Her projects include classifying relative equilibria in the n-vortex problem (configurations of swirls in fluids that maintain their shape while translating and rotating) by looking at symmetry of their structures. Her more recent work applys the ideas of bifurcation, tipping, and disturbance to modeling resilience in climate and ecosystems. Alanna's other interests include bad scifi, cross stitching, taking pictures of her cats, and riot grrl punk music.
Amir has been teaching undergraduate Statistics for the past 28 years. His teaching responsibilities began in 1989 at UMass Amherst and continued through May 2010. He was nominated 5 times for the university-wide Distinguished Teacher Award. He won the College Teacher of the Year Award in 2005. He taught at Babson College from September 2010 through May 2015. He has been teaching at Mount Holyoke College since September 2015. He taught undergraduate Statistics online at UMass from 2009 through 2013. Amir’s research and teaching interests include regression analysis and models, Urban and transit planning, and transportation planning. His personal interests include politics and sports.
Sara has been a Research Scientist under Dr. Foulkes since January 2014, and is a recent graduate from the Biostatistics Master's program at the University of Massachusetts, Amherst. She has a passion for mentoring undergraduates who are interested in the same path, as well as teaching the fundamentals of introductory Statistics. In September 2016, she returned to UMass to pursue her PhD, majoring again in Biostatistics and minoring in Data Science. Her work has included creating teaching modules for statistical learning in R as well as assisting in the development of novel statistical genomic methods. Through this work, her research interests have gravitated towards big data and integrative analyses of various biological mechanisms.
Mark Peterson is a physics theorist who teaches in both the physics and mathematics departments. His research includes modelling fluid dynamics in biophysical settings, innovative mathematical methods for elasticity theory, and the history of physics and mathematics, especially the life and work of Galileo.
Margaret Robinson is a number theorist whose work combines analysis, algebra, and topology to understand number theoretic objects, in particular zeta functions. For Robinson, the research is addictive because objects from other areas of mathematics arise like strange outcrops revealing unexpected constituents in the rock of number theory. Tracking down and explaining why these startling connections exist is tantalizing, sometimes frustrating, but never boring.
Peter Rosnick is Professor Emeritus from Greenfield Community College. He has a Bachelor Degree from Tufts University and his Ed.D from the University of Massachusetts. He has been teaching College Mathematics since 1977. In "retirement", in addition to teaching at Mt Holyoke, Dr. Rosnick continues to teach at GCC and also directs its Sustainable Agriculture and Green Energy Education Center. His avocations include bicycling, theater, cinema, and hiking and snowshoeing in search of the elusive Conway moose.
Dylan Shepardson works on mathematical problems that are motivated by applications in other disciplines, like biology, epidemiology, sociology, or archaeology. He is especially interested in new and unusual applications of optimization theory. In most physical, biological, and economic systems, a property is being optimized (like energy or entropy in physical systems, or reproductive success in evolutionary biology), and optimization techniques offer interesting insights into these systems. Shepardson's recent projects include voting theory and its connections to combinatorial geometry, infectious disease modeling, and the problem of using collections of radiocarbon data to estimate dates of the earliest human settlements of Pacific islands.
Lindsay Woloszyn is the helpful voice you will likely connect with regarding questions about the major or events sponsored by the department. She manages the budget, purchasing, events, award applications, and all the daily needs of faculty and majors.