General Chair
Dawn Song
UC Berkeley
Dawn Song is a Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley. Her research interest lies in AI and deep learning, security and privacy. She is the recipient of various awards including the MacArthur Fellowship, the Guggenheim Fellowship, the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review TR-35 Award, ACM SIGSAC Outstanding Innovation Award, and Test-of-Time Awards and Best Paper Awards from top conferences in Computer Security and Deep Learning. She is an ACM Fellow and an IEEE Fellow. She is ranked the most cited scholar in computer security (AMiner Award). She obtained her Ph.D. degree from UC Berkeley. She is also a serial entrepreneur. She is the Founder of Oasis Labs and has been named on the Female Founder 100 List by Inc. and Wired25 List of Innovators.
Dawn Song is a Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley. Her research interest lies in AI and deep learning, security and privacy. She is the recipient of various awards including the MacArthur Fellowship, the Guggenheim Fellowship, the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review TR-35 Award, ACM SIGSAC Outstanding Innovation Award, and Test-of-Time Awards and Best Paper Awards from top conferences in Computer Security and Deep Learning. She is an ACM Fellow and an IEEE Fellow. She is ranked the most cited scholar in computer security (AMiner Award). She obtained her Ph.D. degree from UC Berkeley. She is also a serial entrepreneur. She is the Founder of Oasis Labs and has been named on the Female Founder 100 List by Inc. and Wired25 List of Innovators.
Program Chair
Michael Carbin
MIT
Program Chair
Tianqi Chen
CMU
Workshop and Tutorial Chair
Beidi Chen
FAIR/CMU
Workshop and Tutorial Chair
Gennady Pekhimenko
CentML / University of Toronto
Artifact Evaluation Chair
Hui Guan
Assistant Professor
University of Massachusetts, Amherst; Amazon
Hui Guan is an Assistant Professor in the College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst, the flagship campus of the UMass system. Her research interest resides at the intersection of programming systems and machine learning, with a focus on improving the speed, scalability, and reliability of machine learning through innovations in algorithms and programming systems (e.g., compilers and runtime). Hui is currently working at Amazon on AIOps.
Hui Guan is an Assistant Professor in the College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst, the flagship campus of the UMass system. Her research interest resides at the intersection of programming systems and machine learning, with a focus on improving the speed, scalability, and reliability of machine learning through innovations in algorithms and programming systems (e.g., compilers and runtime). Hui is currently working at Amazon on AIOps.
Artifact Evaluation Chair
Zhihao Jia
CMU
Panel and Young Professional Activities Chair
Newsha Ardalani
Facebook AI Research (FAIR)
Panel and Young Professional Activities Chair
Udit Gupta
Cornell Tech
Sponsor Chair
Wenming Ye
Amazon Web Services
Technical Product Manager AWS AI.
Technical Product Manager AWS AI.
Publications Chair
Shivaram Venkataraman
University of Wisconsin, Madison
Workflow Chair
Wenbo Guo
UC Berkeley
Workflow Chair
Zhenyu (Sherry) Xue
MLSys Staff
