Stanford ICME Names Total Innovation Fellows for 2018-19
Total Innovation Fellows 2018-19
Three ICME graduate students have been named 2018-2019 Total Innovation Fellows. The Total Innovation Fellows program recognizes aspiring scholars in the fields of data science, machine learning, deep learning, high-performance computing, physical modeling simulations and optimization, and data visualization. The award was established to support students with the potential to contribute to innovative new approaches and solutions around affordable, reliable, clean energy.
This is the inaugural year of a multi-year Total Innovation Fellows program, which provides a fellowship award, in addition to opportunities to connect with Total leaders and relevant technical teams.
The Total fellows are as follows:
- Andrea Zanette is a 2nd year PhD student in Stanford ICME, under the direction of Professors Emma Brunskill and Mykel Kochenderfer. His research will focus on combining strategic exploration with powerful generalization in reinforcement learning. Andrea received a BS in mechanical engineering from the University of Padova.
- Leopold Cambier is a 4th year PhD candidate in Stanford ICME, under the direction of Professor Eric Darve. His research will focus on fast and robust linear solvers for exascale computing. Leopold received a BS in engineering and MS in mathematical engineering from the University Catholique de Lorain.
- Ruohan Zhan is a 2nd year PhD student in Stanford ICME, under the direction of Professor James Zou. Her research will focus on inference on the vehicle of deep learning. Ruohan received a BS in Applied Math from Peking University.
This program is made possible with the generous support of Total, a worldwide energy company, fourth largest oil and gas company worldwide, and a major player in low-carbon energies.