CV

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Research Overview

I am an Associate Research Scientist at the Cooperative Institute for Great Lakes Research (CIGLR) at the University of Michigan.

My research sits at the intersection of environmental prediction, observing system design, and machine learning. I develop data-driven and physics-informed approaches for environmental forecasting, uncertainty quantification, and decision support, with current applications in Great Lakes water levels, evaporation, storm impacts, and environmental monitoring.

Before joining CIGLR, I spent a decade at the British Antarctic Survey studying ocean circulation, climate variability, and Southern Ocean dynamics. My background spans physical oceanography, applied mathematics, numerical modeling, machine learning, and environmental data science.

Current research interests include:

Current Position

2023 - Present: Associate Research Scientist (Research Faculty)

Cooperative Institute for Great Lakes Research (CIGLR), University of Michigan

Research areas include machine learning, environmental forecasting, observing system design, and Great Lakes science. Current projects include next-generation water level forecasting, environmental sensor placement, uncertainty-aware machine learning, and AI applications for environmental research and management.

Previous Appointments

2013 - 2023: Physical Oceanographer

British Antarctic Survey, NERC, UKRI

Research focused on ocean circulation, climate variability, observing system design, machine learning, and adjoint ocean modeling, with applications in the Southern Ocean and North Atlantic.

2011 - 2013: Research Scientist

Georgia Institute of Technology

Developed computational models and observational analyses in physical oceanography and climate science.

2007 - 2009: Instructor of Physics

Georgia Southern University

Taught undergraduate physics and astronomy courses and supervised laboratory instruction.

Education

Selected Leadership and Service

Selected Awards