Visiting Professors & Scholars

Christoph Graf
Visiting Scholar, UC Berkeley
graf@berkeley.edu
http://chrisgraf.net
Christoph’s research interests cover energy and environmental economics, industrial organization, and optimization. His research mostly centers around intermittent renewables and their impacts on power markets. During his two-year stay at UC Berkeley, he will develop power market models in systems with intermittent renewables as well as storage. The goal of this research is to benchmark the outcomes of those models against real market outcomes to evaluate the trade-off between accuracy and cost.


Alexander Fred Ojala
Visiting Research Scholar
afo@berkeley.edu
https://www.linkedin.com/in/alexanderfo/

Alexander has a MS in Mathematical Statistics from UC Berkeley and a BS in Engineering Physics from Lund University. He has been a Visiting Scholar in the IEOR department since October 2016. Alexander is collaborating with professor Ikhlaq Sidhu to develop new teaching models for data science applications at UC Berkeley. He is a co-developer and co-instructor of the IEOR 135 / 290 class Applied Data Science with Venture Applications (first taugt in the spring of 2017). He is also part of the SCET's Blockchain lab initiative.

Since 2016 Alexander has been the lead data scientist of the global research project the Berkeley Innovation Index -- a project utilizing data analytics to aid in behavioral assessment for individuals and organizations to be effective and innovative.

 


Mariana Olvera-Cravioto
Visiting Professor
molvera@berkeley.edu
http://olvera.ieor.berkeley.edu
Professor Olvera-Cravioto obtained her BS in Applied Mathematics from ITAM, in Mexico City, and her PhD in Management Science & Engineering from Stanford University; she also holds a MS in Statistics from Stanford University. She was a faculty in the Department of Industrial Engineering and Operations Research at Columbia University from 2006 until 2016. Her research interests are in Applied Probability, in particular, the asymptotic analysis of heavy-tailed phenomena. Her current work is focused on the analysis of information ranking algorithms and their large-scale behavior, which is closely related to the study of stochastic branching recursions. She is also interested in the analysis of power-law graphs (e.g. social networks) and queueing networks with parallel servers such as those encountered in cloud computing platforms. She is an Associate Editor for Stochastic Models and QUESTA.