Summary
Nicolas Christianson is a Stanford Energy Postdoctoral Fellow and computational scientist with nine years of experience bridging applied mathematics, data engineering, and energy-focused research. Trained at Harvard (Applied Mathematics) and Caltech (PhD in Computing and Mathematical Sciences), he blends rigorous theoretical foundations with practical internships at Microsoft, BCG, and Covance to translate complex models into deployable analytics. His work spans complex systems, predictive analytics, and energy research, with a track record of collaborating across academia and industry to tackle high-impact problems. Based in Palo Alto, he brings a hybrid researcher-practitioner mindset—comfortable both designing mathematical models and shipping data-driven solutions in production contexts.
9 years of coding experience
California Institute of Technology
Bachelor’s Degree, Applied Mathematics, Bachelor’s Degree, Applied Mathematics at Harvard University
English, Greek