Improving recruiting & mitigating bias: Using people analytics to improve the way organizations identify, attract, develop, and retain talent
Brendan Boler (Leadership & Organizational Behavior | Darden School of Business), Travis Elliott (Strategy, Ethics & Entrepreneurship | Darden School of Business) and Tianlu Wang (Computer Science | Engineering)
Predicting Host-Pathogen Interactions Using Deep Learning on Protein Structural Data
Eli Draizen (Biomedical Engineering | Engineering) and Jack Lanchantin (Computer Science | Engineering)
Identifying colonial policies of urban planning and racial-segregation as drivers of air pollution in Dakar, Senegal
Angelique Demetillo (Environmental Science | College of Arts & Sciences) and Dallas Tatman (Religious Studies | College of Arts & Sciences)
Comparing modeling approaches for algal bloom forecasting to enable proactive
management
Cal Buelo (Environmental Sciences | College of Arts & Sciences) and Neda Nazemi (Engineering Systems & Environment | Engineering)
Ecosystem Resilience & Climate Change: Quantifying carbon storage and water fluxes in Shenandoah National Park using machine learning and novel remote sensing data
Jacob Malcomb (Environmental Sciences | College of Arts & Sciences) and Linnea Saby (Engineering Systems & Environment | Engineering)
Understanding how bacterial communities assemble and function: Using machine learning to simplify the process of single cell detection for general biofilm study
Jie Wang (Electrical and Computer Engineering | Engineering) and Mingxing Zhang (Chemistry | College of Arts & Sciences)