Speakers:
Aurick Qiao, Ph.D., CEO, Petuum
Aurick Qiao is the Chief Executive Officer at Petuum. Aurick received his Ph.D. from Carnegie Mellon University, where he researched distributed machine learning systems. His work on elastic scheduling for deep learning training recently won the Jay Lepreau Best Paper Award at OSDI 2021. Together with his experience at top technology companies such as Microsoft, Facebook, and Dropbox, Aurick is building products to support the next generation of AI/ML operations.

Tong Wen, Ph.D., Director of Engineering, Petuum
Tong Wen is an Architect and Director of Engineering at Petuum. Tong joined Petuum from Microsoft where he was a member of the founding team of Azure Machine Learning. Tong has 10+ years of experience in building innovative and high-impact AI/ML and HPC platforms with a proven track record. Before his first startup experience in 2008, Tong was a researcher in computational science and engineering at IBM Research and Lawrence Berkley National Lab. He holds a Ph.D. degree in applied mathematics from MIT.

Zhengzhong Liu (Hector), Head of Engineering, Petuum
Zhengzhong Liu (Hector) is the head of Engineering at Petuum. Hector did his Ph.D. at Carnegie Mellon University on topics of Natural Language Processing. His work on Neural Network models and systems won the Outstanding Long Paper Award at ACL 2016 and was nominated for ACL Best System Demonstration Award at ACL 2019. Combining with his experience in industry and research, Hector is building open-source software that brings advanced AI technologies to everyone.


Abstract:

Today’s widespread practice of ad hoc integration between many fragmented ML tools leaves hard-to-fill gaps in end-to-end automation, scalability, and management of AI/ML applications. With the Petuum Platform, ML applications and infrastructure can be composed quickly and flexibly from standardized and reusable building blocks, thus transforming MLOps from craft production into a repeatable assembly-line process. We will discuss new innovations in Composable, Automatic, and Scalable ML (CASL), developed in collaboration with CMU, UC Berkeley, and Stanford, and how they play a pivotal role in the Petuum Platform.

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