I perform and support research in applied mathematics and high performance computing. My interests lie in GPU/accelerator computing, numerical algorithms, machine learning, and computational tools that address climate, sustainability, and environmental problems, including but not limited to climate change, atmospheric flows, fluid dynamics, and disaster response. Some extended areas I’d like to contribute more to include climate friendly land use assessments, energy grids, intersection of socio-economics with the environment, and other projects that might leverage HPC. Currently I have strong interests in portable code design and accessibility for GPU computing for domain scientists.Beyond my technical work, I am a life long learner who tends to broaden my knowledge and technical skillset towards environmental issues. High performance computing happens to be a tool that’s well suited to modeling many of these types of problems, both in physical and social domains. Applying this science and output from computational models to solve societal problems remains difficult. A specific social problem I contemplate is water stress management in sustainable city design. Generally. I’m driven by aspirations set by the sustainable development goals and how to achieve mass social change to properly respond to water or other environmental stressors. The knowledge gathering is necessary for the coming paradigm shift towards fossil fuel free societies. Doing this equitably and justly while convincing people, and myself, of the needed significant reduction in present standards of consumption is the hardest, but most meaningful, of pursuits.
Listed skills include Research, Matlab, Mathematica, Latex, and 5 others.