Selected publications: 'Pollux: Co-adaptive cluster scheduling for goodput-optimized deep learning' (OSDI 2021); 'Orpheus: Efficient distributed machine learning via system and algorithm co-design' (SoCC 2018).
Research Experience
Assistant Professor at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI); Co-founder and CTO at Petuum; Played key roles in multiple projects including Alpa, AdaptDL, and Tuun.
Education
PhD from Carnegie Mellon University in 2014; Advisor: Eric P. Xing.
Background
Research interests: Distributed software systems for Machine Learning at Big Data and Big Model scales, with a focus on performance guarantees, theoretical correctness, and practical needs like robustness, programmability, and usability. Professional field: ML systems.
Miscellany
Personal website: https://skylerhallinan.com/; LinkedIn and Google Scholar profiles; Organizer of the 2nd CASL Workshop (on Applications of AI at Scale); The lab is looking for postdocs in areas such as ML systems, ML for Healthcare, and ML for Computational Biology.