Sloan Nietert
Dr.
Sloan Nietert
PostDoc
As a postdoc with NCCR Automation, I'm excited to apply my theoretical toolkit for robust statistical inference beyond static decision-making to the challenging, dynamic problems arising in automation and control.
Sloan Nietert recently completed his Ph.D. in Computer Science at Cornell University, where he was advised by Ziv Goldfeld and supported by an NSF Graduate Research Fellowship. His research provides statistical and computational guarantees for robust and geometry-aware machine learning, often through the lens of optimal transport. More broadly, his interests span machine learning theory, online algorithms, and high-dimensional statistics. Prior to graduate school, he was a Fulbright U.S. Scholar in Budapest, Hungary, with the Alfréd Rényi Institute of Mathematics and Budapest Semesters in Mathematics. He received his B.S. in Mathematical Sciences and B.A. in Computer Science from Clemson University.
