Shah Saki

Ph.D. Candidate

Civil & Environmental Engineering


Shah Saki is a climate risk and infrastructure resilience researcher with expertise in translating complex weather and climate data into decision-relevant insights for the power and water sectors. He is a Ph.D. candidate in Environmental Engineering at the University of Connecticut, where his work focuses on how compound climate extremes, including heatwaves, heavy precipitation, and wind, affect electric grid reliability and broader infrastructure risk. His experience spans climate risk modeling, statistical analysis, machine learning, hydrologic and hydraulic modeling, and geospatial workflows, with applied work connected to organizations such as the Electric Power Research Institute and the National Water Center. Shah has contributed to research published in high visibility journals including Scientific Reports, Earth’s Future, Journal of Hydrology, and Science of the Total Environment, reflecting both scientific rigor and practical relevance for real world planning and resilience applications. Alongside his technical work, he has taken on leadership roles at UConn, including serving as Vice President of the John Lof Leadership Academy and as a Senator in the Graduate Student Senate, reinforcing a professional style grounded in initiative, collaboration, and service

Contact Information
Emailshah.saki@uconn.edu
CV_Shah_Saki CV_Shah_Saki_2026
Mailing AddressEversource Energy Center | Innovation Partnership Building: 159 Discovery Dr, Storrs, CT 06269, United States
Office LocationInnovation Partnership Building (IPB), 212
CampusStorrs
Linkhttps://www.linkedin.com/in/shahsaki
Research Interests
  • Climate Risk Analytics
  • Extreme Weather Impacts
  • Infrastructure Resilience
  • Power Outage Modeling
  • Geospatial Data Analytics
  • Machine Learning