Adam Wierman’s research strives to make the networked systems that govern our world sustainable and resilient. His lab develops new mathematical tools in machine learning, optimization, control, and economics and applies these tools to design new algorithms and markets with provable guarantees that can be deployed in data centers, the electricity grid, transportation systems, and beyond.
For information on joining the lab as an undergraduate, graduate, or postdoc, see here.
I am actively looking for new graduate students and postdocs this year, especially in the areas of smart grid (markets and control) and the intersection of learning and control.
More info is here.
I am an adviser for the recently launched “Control meets Learning” virtual seminar series. Additionally, our CS+Econ group CSIS has a virtual series that is open to the general community on Economic Theory at the Time of Cholera. Beyond these, I attend and recommend SNAPP (which bridges INFORMS APS and Sigmetrics), INFORMS AMD (which bridges OR/CS/Econ), Games Decisions and Networks, and the Math Foundations of Data Science series.
I keep office hours during the term on Fridays from 3-4pm. I am available during this time for discussions with my undergraduate advisees and for any students/postdocs in the department to meet with me in my role as CMS Ombudsperson. Typically, these meetings are held in my office (ANB 215) but, while Caltech is virtual, please email me or my assistant (info below) for the zoom info.