معرفی
Nico Christianson is a Stanford Energy Postdoctoral Fellow at Stanford University, hosted by Ellen Vitercik and Ram Rajagopal. In Fall 2026, he will join Johns Hopkins University as an Assistant Professor of Computer Science and a member of the Data Science and AI Institute and the Ralph O’Connor Sustainable Energy Institute. His research bridges algorithms, machine learning, and optimization to create reliable systems for decision-making under uncertainty, with applications in energy and datacenters.
- PhD in Computing and Mathematical Sciences, Caltech
- BSc in Applied Mathematics, Harvard
Research focuses on online algorithms, learning-augmented systems, uncertainty quantification, risk-aware optimization, and sustainable energy applications. His work integrates theoretical rigor with practical deployment, addressing challenges in energy efficiency and grid stability.
Recent publications highlight algorithmic innovation for energy systems, including robust scheduling, adaptive bitrate control, and uncertainty-quantified calibration. He actively recruits PhD students and postdocs for his future group at Johns Hopkins.
- NSF Graduate Research Fellowship
- PIMCO Data Science Fellowship
- Ben P.C. Chou Doctoral Prize in Information Science and Technology
- Demetriades-Tsafka-Kokkalis Prize in Renewable Energy
