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Talk Videos from SigOpt Summit 2021

November 16, 2021. Online,
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22 Speakers
16 Talks
2600 Attendees
7 Hours of content
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About the Event

Join SigOpt Summit to hear how your peers across AI and HPC apply experimentation to learn about their modeling problems and, in the process, develop better models.Modeling is a scientific process that requires experimentation to get right. But experimentation is only as effective as the techniques and tools applied to it. At this Summit, we bring together modelers across a wide variety of industries and modeling problems to discuss their approach to experimentation and how this translated to better modeling results. Discussion will touch on techniques to design experiments to ask the right questions, explore experiments to understand modeling problems, and optimize experiments to get the best results. And cases will include experimentation applied to simulations, graph neural networks, transformers, convolutional neural networks, recurrent neural networks, random forests, gradient-boosted trees, reinforcement learning and everything in between. 
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Featured Speakers

Scott Clark

Co-founder and CEO at SigOpt
Scott Clark is the co-founder, former CEO, and current general manager of SigOpt, acquired by Intel in November 2020. Scott leads SigOpt's ongoing efforts to build a product and vision of an Intelligent Experimentation platform that accelerates and amplifies the impact of modelers everywhere.

Scott has been applying optimal learning techniques in industry and academia for years in areas that include bioinformatics and production advertising systems. Before co-founding SigOpt, he worked on the Ad Targeting team at Yelp, where he led the charge on academic research and outreach with projects like the Yelp Dataset Challenge and open-source Metric Optimization Engine (MOE).

Scott holds a PhD in Applied Mathematics and an MS in Computer Science from Cornell University. He also holds BS degrees in Mathematics, Physics, and Computational Physics from Oregon State University. He was recognized as one of Forbes' 30 under 30 in 2016.

Sasikanth Avancha

Senior Research Scientist at Intel Parallel Compute Labs
Sasikanth Avancha (Member, IEEE) received the B.E. degree in Computer Science and Engineering from the University Visvesvaraya College of Engineering (UVCE), Bengaluru, India, in 1994. He received M.S. and Ph.D. degrees in Computer Science from the University of Maryland at Baltimore County (UMBC), Baltimore, MD, USA, in 2002 and 2005, respectively. He is currently a Senior Research Scientist with the Parallel Computing Lab in Intel Labs and is based out of Intel India in Bengaluru. He has over 20 years of industry and research experience. He has four patents and over 25 articles spanning security, wireless networks, systems software, computer architecture and deep learning. His current research focuses on high-performance algorithm development, analysis and optimization of large-scale, distributed deep learning and machine learning training and inference, on different data-parallel architectures, including x86 and accelerator architectures, across application domains.

Eddie Mattia

Product Manager at SigOpt
For the last few years I have been working closely with SigOpt customers to help them design better Experiments and better optimize their models. Since we joined Intel one year ago my goals have pivoted to extending insights from these often heavily involved, custom projects and using them to build product features that empower data scientists to spend more of their time working on the tasks that are most important to them, like attending SigOpt conferences to learn about fancy new types of neural networks.
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Attendees and speakers include data scientists, AI leaders, AI platform engineers, researchers, machine learning engineers and deep learning engineers.

Featured Sessions

Marat Latypov
Assistant Professor of Materials Science and Engineering at University of Arizona
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Panel: Best Practices for Experiment Design

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Ke Ding
Principal AI Engineer Intel at SATG MLP – Applied ML team
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Faster, Better Training for Recommendation Systems

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Sasikanth Avancha
Senior Research Scientist at Intel Parallel Compute Labs
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Panel: Optimizing and Scaling Graph Neural Networks

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Host committee: SigOpt, contact@sigopt.com, 15627744678

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