- Applied Statistics
- Climate and Weather Extremes and Natural Hazards
- Uncertainty Quantification, Bayesian Modeling, Physics-Guided Data Science
Evan Kodra is a 2014 Ph.D. alumnus of in the SDS Lab. He also holds a B.S. and M.S. in Statistics from the University of Tennessee. He is currently the Big Data Lead at EnergyPoints, a source energy intelligence startup located in Boston, MA. His research has been highlighted in Nature magazine, USA Today, and MSNBC, among many others.
Kodra, E., and A.R. Ganguly (2014): Asymmetry of projected increases in extreme temperature distributions. Scientific Reports, Nature Publishing Group, 4, 5884.
Ganguly, A.R., Kodra, E., et al. (2014): Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques. Nonlinear Processes in Geophysics Discuss., 1, 51-96.
Parish, E., Kodra, E., Steinhaeuser, K., and A.R. Ganguly (2012). Estimating future global per capita water availability based on changes in climate and population, Computers & Geosciences,42: 79-86.
Most downloaded of recent articles in journal Computers and Geosciences
Kodra, E., Ghosh, S., and A.R. Ganguly, (2012): Evaluation of global climate models for Indian monsoon climatology. Environmental Research Letters 7, 014012, 7 pp., doi:10.1088/1748-9326/7/1/014012.
Kodra, E., Steinhaeuser, K.S., and A.R. Ganguly (2011): Persisting cold spells in the 21st-century warming environment. Geophysical Research Letters, 38, L08705, 5 pp. Research Highlights in Nature and Nature Climate Change, (Selected) News: USA Today, MSNBC, Yahoo! News, Our Amazing Planet