Nalini Ravishanker
Vice President for Education
(2017
– 2020)
Nalini Ravishanker is a professor and
undergraduate program director in the
Department of Statistics at the University of
Connecticut, Storrs. Her current research
interests include time series and
times-to-events analysis, Bayesian dynamic
modeling, signal processing, and predictive
inference. Her primary interdisciplinary
research involves problems in biology,
biomedicine, climate, finance, marketing, and
transportation engineering. She has an
undergraduate degree in statistics from
Presidency College, Chennai, India, and a PhD
in statistics and operations research from
the Stern School of Business, New York
University. She has over 75 publications, has
co-authored a textbook A First Course in
Linear Model Theory, and is co-editor of the
Handbook of Discrete-Valued Time Series, both
published by Chapman & Hall/CRC. She is a
fellow of the American Statistical
Association, an elected member of the
International Statistical Institute, and an
elected member of the CT Academy of Science
and Engineering. She is President-elect of
the International Society for Business and
Industrial Statistics (ISBIS). She has served
as the theory and methods editor of Applied
Stochastic Models in Business and Industry,
and as an associate editor for The American
Statistician. She is currently
co-editor-in-chief of the International
Statistical Review and an associate editor
for the Journal of Forecasting. She serves as
the faculty coordinator in Statistics for
UConn’s Early College Experience (ECE)
concurrent enrolment program for CT high
schools, and is involved in UConn’s
pre-college summer programs for high school
students.
