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Currently
I'm working as a postodoctoral scholar at Sandia National Laboratories using data science, machine learning, and computational materials science to facilitate the discovery of improved materials for hydrogen storage and generation.
Experience
Sandia National Laboratories
Postdoctoral Scholar (2019 - Current)
Computation, data science, and ML for materials discovery.
Sunchem
Technical Consultant (2020 - Current)
Modeling and optimization of packed bed separation columns for gold separation from waste streams.
UC Berkeley
PhD Student (2014-2019)
Computationally advancing the predictive power of the nanoporous materials genome.
Ecole Polytechnique Federale de Lausanne
Visiting researcher (2015-2019)
Computationally advancing the predictive power of the nanoporous materials genome.
General Electric
Process Engineering Intern (2013)
Programming and automation of supply chain data management
Janssen Pharmaceutical, a J&J company
Supply Chain Management Co-Op (2012)
Demand analytics and planning, statistical forecasting, and process improvement
Schreyer Honors College, Penn State University
Undergraduate (2009-2013)
Design and fabrication of organic electronic devices, including all polymer solar cells