Dr. Barnabás Póczos is an associate professor in the Machine Learning Department at the School of Computer Science,
Carnegie Mellon University. His research interests lie in the theoretical questions of statistics and their applications to machine learning.
Currently he is developing machine learning methods for advancing automated discovery and efficient data processing in applied sciences including
health-sciences, neuroscience, bioinformatics, cosmology, agriculture, robotics, civil engineering, and material sciences. His results have been published
in top machine learning journals and conference proceedings, and he is the co-author of 100+ peer reviewed papers. He has been a PI or co-Investigator
on 15+ federal and non-federal grants. Dr. Poczos is a member of the Auton Lab in the School of Computer Science. He is a recipient of the Yahoo! ACE award.
In 2001 he earned his M.Sc. in applied mathematics at Eotvos Lorand University in Budapest, Hungary. In 2007 he obtained his Ph.D.
in computer science from the same university. From 2007-2010 he was a postdoctoral fellow in the RLAI group at University of Alberta,
then he moved to Pittsburgh where he was a postdoctoral fellow in the Auton Lab at Carnegie Mellon from 2010-2012.