Austin Menger
University of Connecticut
Austin is currently a PhD student in the Department of Statistics at
the University of Connecticut. His research is focused on Bayesian Deep
Learning, Survival Analysis, and Machine Learning. Prior to coming to
Connecticut, he was the Lead Data Scientist at New York Engineers. He
has a B.S. with honors in Mathematics from Georgetown University, and
an M.S. in Applied Statistics from Columbia University.
Email
Website
Shaoyang Ning
Williams College
Shaoyang Ning is an Assistant Professor in Department of Mathematics
& Statistics at Williams College. His research focuses on the study and
design of statistical methods for integrative data analysis, in
particular, innovating statistical methods that efficiently integrate
multi-source, multi-resolution, large-scale data to solve real-life
problems. Instances include tracking localized influenza with Google
search data and predicting cancer-targeting drugs with high-throughput
genetic profiling data.
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Anna Plantinga
Williams College
Anna Plantinga is an Assistant Professor of Statistics at Williams
College. Her research focuses on statistical methods for human
microbiome and other omics data.
Email
Kshitiz Rakesh
Boehringer Ingelheim
Kshitiz studied Dental Surgery for 5 years in India and subsequently
decided to pursue MPH – Biostatistics from University of North Texas.
After graduating, he worked at Boston Children’s Hospital for a year.
Since June 2017 he has been working at Boehringer Ingelheim as
a Statistical Programmer.
Email
Website
Dooti Roy
Boehringer Ingelheim
Dr. Dooti Roy is a Principal Methodology Statistician in Biostatistics and Data Sciences department of Boehringer Ingelheim Pharmaceuticals Inc. since 2015.
Email
Website
Gregory Vaughan
Bentley University
Gregory Vaughan is an Assistant Professor in the Department of
Mathematical Sciences at
Bentley University. His research mainly focuses on statistical learning
and high-dimensional
statistics. Greg received his B.S., double majoring in Mathematics and
Computer Science, from
Trinity College in 2012 and his PhD in Statistics from the University
of Connecticut in 2017.
HaiYing Wang
University of Connecticut
HaiYing Wang is an Assistant Professor in the Department of Statistics
at the University of Connecticut. He was an Assistant Professor in the
Department of Mathematics and Statistics at the University of New
Hampshire from 2013 to 2017. He obtained his Ph.D. from the Department
of Statistics at the University of Missouri in 2013, and his M.S. from
the Academy of Mathematics and Systems Science, Chinese Academy of
Sciences in 2006.
Email
Website
Jing Wu
University of Rhode Island
Dr. Wu is an Assistant Professor in the Department of Computer Science and Statistics at the University of Rhode Island.
Email
Website
Katherine Zavez
University of Connecticut
Katherine is a PhD candidate in the Department of Statistics at the
University of Connecticut. Her research is focused on missing data, and
she has a B.A. in Mathematics and Statistics from Swarthmore College.
Email
Yan Zhuang
Yan Zhuang is an Assistant Professor in the Department of
Mathematics and Statistics at
Connecticut College. Her research mainly focuses on statistical
inference, sampling strategies, and sequential analysis.
Elizabeth Upton
Elizabeth Upton is an Assistant Professor of Statistics at Williams
College. Her research focuses on the analysis of network-indexed data.
She obtained her PhD at Boston University in 2019 and her EdM at the
Harvard Graduate School of Education in 2011.
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