Talk Videos from OpML '20

July 28 - August 7, 2020. Online
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67Speakers
25Talks
11Days
8Hours of content
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About the Event

OpML is dedicated to operational machine learning and variants such as deep learning and reinforcement learning. The conference focuses on the final stage of deploying machine learning into production and managing its subsequent continuous lifecycle. 
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Featured Speakers

Abdul Dakkak

Phd Candidate at University of Illinois at Urbana-Champaign
I am a senior compiler developer at Wolfram Research, leading the Wolfram Compiler effort and is a Ph.D. candidate in Computer Science at the University of Illinois at Urbana-Champaign (UIUC) advised by Professor Wen-mei Hwu. My research interest lies between programming languages and accelerated computing, with a focus on compiling high-level languages into performant code running on different hardware. In the process, he has developed industry-grade tools for compiling, running, profiling, and introspecting real-world applications to optimize their performance across both the hardware and software stack. As a primary developer of the Wolfram Compiler, I have developed the Wolfram type system and architected the Wolfram runtime. As a result, the compiled Wolfram code matches the speed to hand-optimized C code and can target accelerator and multi-node systems.

I have been involved in teaching activities and developed tools to enable teaching for large classrooms and is the author of WebGPU and RAI. Both WebGPU and RAI have over 100k users and are used across over 14 universities (including the University of Michigan, BSC/UPC, UIC, the University of Tennessee, …) to evaluate over 2.5 million labs. I aided in teaching the Coursera HPP course (3 times), the introductory and advanced CUDA courses (2 times), and the PUMPS summer school at BSC (4 times).

Jinjun Xiong

Research Staff Member at IBM
Across stack AI systems and solutions Research. Founded and currently Co-Directs the IBM-ILLINOIS Center for Cognitive Computing Systems (C3SR.com). PI for projects like (1) Cognitive Application Builder (CAB) for developing AI systems and tools for improved productivity, (2) Creative Experiential Learning Advisor (CELA) with computer vision, natural language understanding and computational creativity, and (3) Near-Memory in-storage acceleration (NMA) for optimizing heterogeneous systems.

Experienced in leading a group of senior IBM researchers for conducting big data analytics and deep learning research for IBM's various business units. IBM Master of Inventors.

Smarter Energy Research. Founding PI for the IBM Smarter Energy Research Institute (SERI), an industrial consortium with deep collaboration with a number of large electrical utility companies world-wide. Won IBM Outstanding Technical Achievement Award for Contribution to Smarter Energy Research.

Design Automation for VLSI Circuits and Systems Research. Technologies implemented inside IBM's flagship EinsTimer/EinsStat tools and methodologies used for designing multi-generations of IBM's high-performance ASICs and Processors. Won IBM Outstanding Technical Achievement Award for Contributions to Statistical Test Methodology Development and Deployment for IBM 45 nanometer High-Performance ASICs.

Cheng Li

Senior eLearning Specialist at University of Illinois at Urbana-Champaign
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Join systems and ML researchers and practitioners (e.g., data scientists, data engineers, system/IT administrators, and DevOps specialists) to develop and bring to practice impactful research advances and cutting edge solutions.

Featured Sessions

July 28
July 29
July 30
July 31
August 4
August 5
August 6
August 7
Abdul Dakkak
Phd Candidate at University of Illinois at Urbana-Champaign
+ 3 speakers
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John Zedlewski
Director, RAPIDS Machine Learning at NVIDIA
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Chandra Mohan Meena
Senior Software Engineer at Walmart Global Tech India
+ 2 speakers
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Eugen Cepoi
Senior Software Engineer at Netflix
+ 1 speaker
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Alexandru Adrian Ormenisan
PHD Student at KTH | Kungliga Tekniska högskolan
+ 5 speakers
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Free
Free
Free
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Lisa Veiber
Research and Development Specialist in Data Science at SnT
+ 3 speakers
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Shengsheng Huang
Senior Software Architect at Intel
+ 1 speaker
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Viral Gupta
Machine Learning Engineer at LinkedIn
+ 1 speaker
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Srivathsan Canchi
Head of Engineering, Machine Learning Platform at Intuit
+ 1 speaker
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Savin Goyal
Machine Learning Infrastructure at Netflix
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Georgiana Copil
Computer Scientist at Adobe
+ 3 speakers
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Clement Farabet
VP, AI Infrastructure at NVIDIA
+ 1 speaker
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Shunya Ueta
Technical Lead at Mercari, Inc.
+ 2 speakers
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Todd Underwood
Senior Director Engineering/SRE at Google
+ 1 speaker
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Mikhail Arov
Staff Machine Learning Engineer at Intuit
+ 1 speaker
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Tobias Andreasen
Machine Learning Specialist at SigOpt
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Yan Yan
Production Engineer at Facebook
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