- Co-founded the conference on Machine Learning & Systems (MLSys)
- Published multiple papers in top conferences such as ICLR 2024, ICML 2023, and NeurIPS 2022
Research Experience
- Since 2018, Jay & Cynthia Ihlenfeld Associate Professor of Electrical and Computer Engineering at the University of Wisconsin-Madison
- Program co-chair for MLSys in 2018 and 2020
- Co-chaired the 3rd Midwest Machine Learning Symposium (MMLS) in 2019
- Postdoc at UC Berkeley from 2014 to 2016, member of AMPLab and BLISS, collaborated with Ben Recht and Kannan Ramchandran
Education
- Ph.D.: 2014, University of Texas at Austin, Advisor: Alex Dimakis
- M.Sc.: 2009, Technical University of Crete (TUC)
- ECE Diploma: 2007, Technical University of Crete (TUC)
- Graduate student for 3.5 years at the University of Southern California (USC)
Background
Research interests: machine learning, coding theory, and optimization. Particularly interested in the theory and practice of large-scale machine learning systems, especially in the context of large language models and transformer architectures.