Originally from Wilmington NC, I am currently a postdoc in the Department of Civil & Environmental Engineering at Stanford University in the Fletcher Lab. I have a Ph.D. from the School of Industrial Engineering at Purdue University in the Laboratory for Advancing Sustainable Critical Infrastructure under the supervision of Professor Roshi Nateghi.
Broadly, my research focuses on formulating data scientific and machine learning methods for extracting patterns from messy, complex, and high-dimensional data. These are applied to quantifing how climate change disproportionately impacts marginalized groups.
We must build a physical and social world which is resilient to climate change. These benefits must be equitably and justly distributed and address systematic inequities which have long-existed in infrastructure systems.
Currently, I am developing hybrid engineering/data-scientific methods to quantify the disproportionate impact of climate change on low-income communitites, and communities of color with a focus on how current methodologies of promoting resilience engender unequal climate and disaster impacts. These techniques utilize operations research, civil engineering, and mixed-methods approaches, grounded in social theory, to create multidimenional charactizations of the dynamcis of communitites under climate change.
I am broadly interested in addressing these themes:
Resilience & Equity: How does design-for-resilience differ from design-for-equity?
Engineering and Climate Justice: How can climate and environmental justice principles –such as the sharing of benefits and burdens, and inclusive and transparent decision making– be translated into short and long-term engineering design and planning paradigms?
Equity-based Infrastructure What are the physical designs, management practices, policy interventions, and community-based responses to climte ahange which best contribute to equitable resilience?
My vision is to design communitites which can adapt to a changing climate and simultaneously address fundamental inequities in the way engingineered systems serve historically marginalized communities.
Prior to my doctoral work, I received my undergraduate degree in Industrial Engineering from the Industrial and Systems Engineering Department at North Carolina State University. I additionally work in an optimization and data science group at Sandia National Labs as an R&D intern, working on large-scale probabilistic optimization methods for the integration of renewables into unit-commitment planning. Prescient was recently released as an open-source production cost model!
Check back for more soon! [Updated 09/22/2020]