Resume

Visiting Scientist

U.S. Geological Survey (USGS)

Co-developer of the Coastal Storm Modeling System (CoSMoS), a dynamic downscaling framework for assessing compound flooding impacts along the U.S. coastline.

• Principal Investigator on $3.8M USGS research portfolio spanning CoSMoS nationwide expansion, groundwater-flood coupling, and regional hazard assessments
• Co-developed and applied SFINCS compound flood model as the core computational engine for CoSMoS flood hazard mapping across multiple U.S. regions
• Co-authored Nature Climate Change paper on Southeast Atlantic multi-hazard projections, quantifying exposure of 70%+ of coastal residents to shallow groundwater under 1 m SLR
• Led development of integrated compound flooding methods coupling storm surge, wave overtopping, riverine discharge, precipitation, and shallow groundwater for urban estuarine environments
• Trained USGS staff nationwide in SFINCS, CoSMoS, XBeach, and Delft3D applications

Coastal Scientist

Deltares USA

Principal Investigator on $6M+ in federal research grants advancing compound flooding science, coastal process understanding, and operational hazard modeling tools.

• Co-developed SFINCS, a compound flood model now operational in 20+ countries and adopted by USGS CoSMoS and U.S. Navy forecasting systems
• Published 32+ peer-reviewed articles in journals including Nature Climate Change, Coastal Engineering, Geoscientific Model Development, and Natural Hazards and Earth System Sciences
• Lead researcher on the San Francisco Bay Community Model (Delft3D FM), providing shared modeling infrastructure for regional flood risk and adaptation analysis
• Supervised 23 graduate students (7 PhD, 16 MSc) across six universities, resulting in 6 peer-reviewed publications
• Lead PI on Arctic coastal hazards program spanning ONR MURI (thermo-morphodynamics), NSF ACTION (community resilience), and USGS CoSMoS-Alaska
• Led $1M+ in applied coastal modeling projects for Alameda County Flood Control District, including compound coastal-riverine flood assessment and rainfall downscaling
• Completed Ph.D. in Coastal Engineering at TU Delft / IHE Delft (2024) while maintaining full-time research program

Coastal Engineer & Research Scientist

Stichting Deltares Netherlands

Developed and validated process-based coastal models (Delft3D, XBeach, SWAN) for storm surge, wave-driven flooding, morphodynamics, and tropical cyclone hazard assessment.

• Initiated synthetic tropical cyclone modeling research (TCWiSE) later formalized as Ph.D. dissertation
• Co-developed Delft Dashboard (DDB), an open-source tool for rapid setup of hydrodynamic models
• Guest lecturer at TU Delft and IHE Delft, teaching MSc-level coastal modeling courses (2015-2019)
• Contributed to international projects with NOAA, World Bank, and coastal agencies in West Africa, the Caribbean, and South/Southeast Asia

Ph.D.

Delft University of Technology / IHE Delft

Coastal Engineering

Master of Science

Delft University of Technology

Hydraulic Engineering

Bachelor of Science

Delft University of Technology

Civil Engineering

Mitigating Flood Risks in Urban Estuaries: Tidal Dynamics, Shoreline Hardening, Nature-Based Solutions, and Floodgates in San Francisco Bay

Journal of Waterway, Port, Coastal, and Ocean Engineering

Tropical or extratropical cyclones: what drives the compound flood hazard, impact, and risk for the United States Southeast Atlantic coast?

Natural Hazards

Accounting for uncertainties in forecasting tropical cyclone-induced compound flooding

Geoscientific Model Development

Dynamic Modeling of Coastal Compound Flooding Hazards Due to Tides, Extratropical Storms, Waves, and Sea-Level Rise: A Case Study in the Salish Sea, Washington (USA)

Water

The effect of changing sea ice on wave climate trends along Alaska's central Beaufort Sea coast

The Cryosphere

Drivers of extreme water levels in a large, urban, high-energy coastal estuary – A case study of the San Francisco Bay

Coastal Engineering

Simulating synthetic tropical cyclone tracks for statistically reliable wind and pressure estimations

Natural Hazards and Earth System Sciences

Estimates of tropical cyclone geometry parameters based on best-track data

Natural Hazards and Earth System Sciences