Profile
Whitney Huang
Mathematical and Statistical Sciences
Assistant Professor
864-656-3070
Martin Hall O221 [Office]
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.
Research Group (Lab)
Current Members:
Katherine Kreuser, January, 2022 - present, “ Uncertainty Quantification in Extreme Value Modeling, Online Optimization, and Bias Correction” Expected Graduation Date: December 2025
Jiyun (Joyce) Huang (joint with Brook Russell), Feb., 2022 - present,“ Statistical Methodologies for Rainfall Intensity-Duration-Frequency Curve Estimation” Expected Graduation Date: August 2025
Former Members:
Kanon kamronnaher (PhD, December, 2023), “Estimating Financial and Environmental Risk: Some New Developments and Comparison Study” Current Position:
Eva Murphy (PhD, August, 2023), “A framework for statistical modeling of wind speed and wind direction” Current Position: Postdoctoral Fellow, Department of Statistics Department of Statistical Sciences at Wake Forest University, Winston-Salem, NC
Peiying Li (MS, May, 2024) “Estimating Financial Value-at-Risk via GARCH and LSTM Models” Current Position: Banking industry, China
Adam Diaz (MS, May, 2022) “A Contribution to the Statistical Analysis of Climate-Wildfire Interaction in Northern California”[Link]. Current Position: Principal Research Statistician at Northern California Institute for Research and Education, San Francisco, CA
Emily Tidwell (MS, May, 2021) “A Combined Physical-Statistical Approach for Estimating r-year Storm Surge Depth”. Current Position: Dynetics, Huntsville, Alabama
Andrew Bellucco (MS, December, 2019, joint with Co-advised with Colin Gallagher) “Estimating Financial Risk”. Current Position: Senior Partnerships Lead at Yendo, Charlotte, NC
Courses Taught
DSA 9100 Special Topics in Time Series Analysis: 25 Spring
MATH 4070/6070 Regression and Time-Series Analysis: 24 Fall
MATH 8090 Time Series Analysis: 21 Fall, 23 Fall
MATH 9700 Some Useful Tools for Environmental Data Analysis: 21 Spring, 23 Spring
DSA 8020 Statistical Methods II: 21 Spring , 22 Spring, 23 Spring, 24 Spring, 25 Spring
DSA 8070 Multivariate Analysis: 21 Fall , 22 Fall, 23 Fall, 24 Fall
STAT 8110 Special Problems in Experimental Statistics 21 Fall, 24 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. Murphy, E., Huang, W.K., Bessac, J., Wang, J. and Kotamarthi, R. (2025) Joint
Modeling of Wind Speed and Wind Direction Through a Conditional Approach.
Environmetrics, 36: e70011.
2. Chung, YM, Huang, W. K., Wu, HT. (2024) Topological Data Analysis Assisted
Automated Sleep Stage Scoring Using Airflow Signals. Biomedical Signal Processing
& Control 89:105760.
3. Parris, S., Huang, W. K., Jones, D., Bridges, W., Olvey, J., Olvey, M., Saski, C. (2023)
Geostatistical techniques to account for the heterogeneity of Fusarium wilt inoculum
distribution in upland cotton ?eld screening studies. Crop Science 63(3), 1316-1329.
4. Huang, W. K., Chung, Y. M., Wang, Y. B., Mandel, J. E., and Wu, H. T. (2022). Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression. Computational Statistics & Data Analysis, 174, 107384.
5. Huang, W. K., Monahan, A. H., & Zwiers, F. W. (2021). Estimating concurrent climate extremes: A conditional approach. Weather and Climate Extremes, 33, 100332.
6. 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
7. Huang, W. K., Nychka, D. W., Zhang, H. Estimating Precipitation Extremes using Log-Histospline. (2019) Environmetrics
8. 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.
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
Faculty Teaching Award, Clemson University, Apr. 2022
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
Outreach
Invited Short Course
Statistical Methods for Analyzing Climate Extremes, NSF workshop on Collaborative
Strategies for Predicting and Measuring Uncertainty in Rare Occurrences in Civil and
Environmental Systems, Golden, CO Nov. 2024
Statistical Methods for Analyzing Extremes, Paci?c Institute for the Mathematical Sciences
(PIMS)-Ban? International Research Station (BIRS)-University of British Columbia-
Okanagan (UBCO) Summer School on Forecasting and Mathematical Modeling for
Renewable Energy, Kelowna, BC, Canada July 2024
Statistical Methods for Analyzing Climate Extremes, Minitutorial, Society for Industrial and Applied Mathematics (SIAM) Conference on Mathematics of Planet Earth (MPE22), Pittsburgh, PA, July 2022
Invited Panels and Roundtable Discussions
American Statistical Association (ASA) Climate and Extremes Roundtable, Boulder CO
Oct. 2024
Statistics of Climate Extremes, Section on Statistics and the Environment, JSM
Aug. 2023
Postdoctoral Panel, National Institute of Statistical Sciences (NISS) Graduate Student Network, (virtual), Jan. 2022
Links
Google Scholar Profile
ResearchGate
ORCiD
Modeling Storm Surge Risk
LinkedIn
Analyzing high-frequency biomedical signals
