About

I am an Assistant Research Professor in the Department of Civil and Systems Engineering (CaSE) at Johns Hopkins University. I am also a fellow at the Hopkins Extreme Materials Institute (HEMI) and a member of the Institute for Data Intensive Engineering and Science (IDIES).

Research Highlights

• I develop models and algorithms to enable, accelerate, and optimize simulation and analysis of complex stochastic systems
• My research is centered around Scientific Machine Learning and Uncertainty Quantification
• I utilize Scientific Machine Learning to accelerate uncertainty quantification in complex physical models
• I am also interested in quantifying uncertainties in Scientific Machine Learning
• My research is strongly interdisciplinary; it lies at the intersection of applied mathematics, data science, physics-based modeling and engineering
• I work on applications from Mechanical/Civil/Aerospace engineering, Materials Science, Natural Hazards Engineering, Epidemics, and biomechanics

Non-Research Highlights

• I am an Assistant Coach for the JHU men’s Water Polo varsity team
• I play the classic guitar
• I love (good!) coffee
• I have two cats
• I love swimming
• I love travelling
• …and I own a Yamaha FZ6 naked