NISS Academic Affiliate Meetup: How to Present Your Research

The program for this virtual career fair will be organized as follows.  All times Eastern:

1:30-1:35         Opening remarks by the Moderator, Kate Crespi, (UCLA)

1:35-1:50         John Bailer (Miami University)

1:50-2:05         James Booth (Cornell University)

2:05-2:20         Susan Ellenberg (University of Pennsylvania)

2:05-2:20         Regina Nuzzo (American Statistical Association)

2:20-3:00         Q&A  / Discussion

About the Speakers

John Bailer (Miami University)

John Bailer is University Distinguished Professor and founding chair of the Department of Statistics at Miami University. He is also an affiliate member of the Departments of Biology; Media, Journalism and Film; and Sociology and Gerontology. Prior to joining Miami, he was a staff fellow at the National Institute of Environmental Health Sciences. He is currently President of the International Statistical Institute and has served on the Board of Directors of the American Statistical Association. His research has focused on quantitative risk estimation along with a breadth of collaborations addressing problems in toxicology, environmental health, and occupational safety. He collaborates with journalists to produce the podcast Stats+Stories. He is a Fellow of the American Statistical Association, the Society for Risk Analysis, and the American Association for the Advancement of Science. 

James Booth (Cornell University)

James Booth is Professor in the Department of Statistics and Data Science at Cornell University, one of three departments in Computing and Information Science. From 1987 to 2003 he was a faculty member in the Department of Statistics at the University of Florida. During that period he spent two years as a Research Fellow at the Australian National University, and one year at Colorado State University. His research interests involve basic statistical methodology including: the bootstrap and Monte Carlo methods, clustering, exact inference, mixed models, generalized linear models, and also applications in bioinformatics. He has taught a variety of courses at Cornell including Statistical Methods II, the second semester of a statistical methods sequence for graduate students from a wide variety of disciplines, Biological Statistics I, Data Science for All, as well as core courses for statistics undergraduates, professional masters students, and Ph.D. students in the Fields of Statistics. In addition, part of his teaching effort involves contributions to the campus-wide statistical consulting service through the Cornell Statistical Consulting Unit.

Susan Ellenberg (University of Pennsylvania)

Susan Ellenberg is Professor of Biostatistics, Medical Ethics and Health Policy at the University of Pennsylvania’s Perelman School of Medicine. Prior to her appointment at Penn in 2004 she held leadership positions at the NIH and the FDA.  Her research interests have focused on issues in the design and analysis of clinical trials, and on assessment of medical product safety. Particular areas of interest include efficient trial designs, interim monitoring and the operation of data monitoring committees, evaluation of surrogate endpoints, ethical issues in clinical research, and special issues in trials of cancer and AIDS therapies, and of vaccines. She is an associate editor of Clinical Trials and of the Journal of the National Cancer Institute. Dr. Ellenberg is a fellow of the American Statistical Association, the American Association for the Advancement of Science and the Society for Clinical Trials, and an elected member of the International Statistical Institute. She has served as president of the Society for Clinical Trials and the Eastern North American Region of the International Biometric Society, and has chaired the Statistics Section of the AAAS and the Board of Trustees for the National Institute of Statistical Sciences. Her book on clinical trials data monitoring committees, co-authored with Drs. Thomas Fleming (University of Washington) and David DeMets (University of Wisconsin), was named WileyEurope Statistics Book of the Year for 2002.

Regina Nuzzo (American Statistical Association)

Regina Nuzzo is a freelance science writer and professor in Washington, DC. After studying engineering as an undergraduate she earned her PhD in Statistics from Stanford University. She teaches statistics in American Sign Language at Gallaudet University, the world’s only liberal arts college for deaf and hard-of-hearing students. Dr. Nuzzo is also a graduate of Science Communication program at the University of California-Santa Cruz. Her science journalism specialties center around data, probability, statistics, and the research process. Her work has appeared in Nature, Los Angeles Times, New York Times, Reader’s Digest, New Scientist, and Scientific American, among others. Dr. Nuzzo has been invited to speak to a variety of audiences about her work, such as why we just can’t understand p-values, how our brain can fool us during data analysis, what happens when people abuse and misuse statistics, and tips and tricks for communicating anything with numbers and statistics.