David Wanik

David Wanik is an Assistant Professor in the Department of Operations and Information Management and Associated Faculty in the Department of Civil and Environmental Engineering at the University of Connecticut. He serves as Academic Director for Business Data Analytics at the Stamford campus and conducts research in the Eversource Energy Center, focusing on data science, natural hazards, remote sensing, and IoT applications in utility systems.

• PhD, MS, and BS in Environmental Engineering from University of Connecticut

His research bridges natural hazard prediction, power grid resilience, and environmental data science. Key themes include:

• Machine learning for power outage prediction
• Climate change impact on energy demand
• Remote sensing for population and environmental monitoring
• IoT-enabled infrastructure hardening

Recent publications emphasize deep learning for nighttime light imagery analysis, hybrid physics-data-driven models for grid resilience, and climate-integrated demand forecasting. His work integrates satellite data, LiDAR, and utility infrastructure records for predictive analytics.

Teaching includes courses in business analytics, Python-based data science, and deep learning for the MS Business Analytics and Project Management program.