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Whitney Huang

Mathematical and Statistical Sciences

Assistant Professor

864-656-3070
Martin Hall O221 [Office]

wkhuang@clemson.edu
Website
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Educational Background

Ph.D., Statistics, Purdue University, 2017
M.S., Statistics, University of Akron, 2009
B.S., Mechanical Engineering, National Cheng Kung University, 2006

Profile/About Me

I am currently an Assistant Professor at Clemson University. Prior to Clemson I was a Canadian Statistical Sciences Institute (CANSSI) / Statistical and Applied Mathematical Sciences Institute (SAMSI) postdoctoral fellow at the University of Victoria (UVic) , Pacific Climate Impacts Consortium and School of Earth and Ocean Sciences working with Dr. Francis Zwiers and Prof. Adam Monahan. Prior to joining UVic, I was a SAMSI/UNC postdoc under the supervision of Prof. Richard Smith. I received my Ph.D. in Statistics from Purdue University in August 2017 where I was advised by Prof. Hao Zhang.

Research Interests

My research interests include statistics of extremes; spatio-temporal statistics; design and analysis of computer experiments; time-frequency analysis; multiscale statistical modeling; spatial point processes; environmental applications; high-frequency physiological data analysis.

Courses Taught

MTH 8090 Time Series Analysis: 21 Fall
MATH 9700 Some Useful Tools for Environmental Data Analysis: 21 Spring
DSA 8020 Statistical Methods II: 21 Spring
STAT 8010 Statistical Methods I: 19 Fall, 20 Spring, 20 Fall, 21 Fall
STAT 8020 Statistical Methods II: 19 Fall (Co-taught with Dr. William Bridges), 20 Fall
STAT 8050 Design and Analysis of Experiments: 20 Spring (Co-taught with Dr. Patrick Gerard)

Selected Publications

1. Russell, B. T. and Huang, W. K. Modeling short-ranged dependence in block extrema with application to polar temperature data (2020). Environmetrics, 2020;e2661
2. Huang, W. K., Cooley, D. S., Ebert-Upho, I., Chen, C., Chatterjee, S.B. New Exploratory Tools for Extremal Dependence: Chi Networks and Annual Extremal Networks (2019) Journal of Agricultural, Biological, and Environmental Statistics, Special Issue on Climate and Earth System (in press)
3. Huang, W. K., Nychka, D. W., Zhang, H. Estimating Precipitation Extremes using Log-Histospline. (2019) Environmetrics (in press)
4. Huang, W. K., Stein, M. L., McInerney, D. J., Sun., S., Moyer, E. J. Estimating changes in temperature extremes from millennial scale climate simulations using generalized
extreme value (GEV) distributions. (2016). Advances in Statistical Climatology, Meteorology and Oceanography, 2, 79-103.
5. Wang, J., Han, Y., Stein, M. L., Kotamarthi, R., Huang W. K. Evaluation of dynamically downscaled extreme temperature using a spatially-aggregated generalized extreme value (GEV) model. (2016). Climate Dynamics, 47(9), 2833-2849.

Selected Talks

1. Airflow recovery from thoracic and abdominal movements using Synchrosqueezing Transform and Locally Stationary Gaussian Process Regression, Statistics Colloquium, Department of Statistics, University of Missouri, (virtual) Feb. 2021
2. Conditional Approaches to Estimating Concurrent Wind and Precipitation Extremes, Minisymposia on Advances and Challenges in Wind Modeling and its Applications, Society for Industrial and Applied Mathematics (SIAM) Conference on Mathematics of Planet Earth (MPE20), (virtual), Aug. 2020
3. Some Thoughts on Quantifying Storm Surge Risk, Topic contributed session on Uncertainty Quantification for Environmental Applications, Section on Statistics and the Environment, JSM, (virtual), Aug. 2020
4.Estimating Precipitation Extremes using Log-Histospline, 14th International Meeting on Statistical Climatology (IMSC), Toulouse, France, June 2019

Memberships

American Statistical Association (ASA)
Institute of Mathematical Statistics (IMS)
International Chinese Statistical Association (ICSA)
American Geophysical Union (AGU)
The International Environmetrics Society (TIES)
Society for Industrial and Applied Mathematics (SIAM)
Statistical Society of Canada (SSC)

Honors and Awards

Best posters competition, Institute for Mathematics and its Applications (IMA) workshop on Forecasting from Complexity, Minneapolis, MN, Apr. 2018
1st place in the Student Presenter Competition, Conference on Probability and Statistics in the Atmospheric Sciences, Baltimore, MD, July 2017
Runner-up in the student poster competition, Graybill/ENVR conference, Fort Collins, CO, Sept. 2014

Links

Google Scholar Profile
ResearchGate
ORCiD
Modeling Storm Surge Risk