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Matt White (he/him) is the Executive Director of the PyTorch Foundation and GM of AI at the Linux Foundation. Matt is a distinguished expert in artificial intelligence and business, renowned for successfully deploying large-scale AI platforms across the telecom, gaming, media, and entertainment industries. With over two decades of experience, Matt has consistently demonstrated his ability to stay ahead of the curve in technological innovation, spearheading advancements in AI applications in diverse domains.
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Nancy Rausch (she/her) is a Senior Program Manager at the Linux Foundation, specializing in open-source AI. She has extensive experience in AI technology, particularly in renewable energy and healthcare analytics research. Nancy has a track record of leadership, having managed high-performing teams at companies like SAS Institute and IBM. Additionally, she serves on the advisory board of the NSF-funded non-profit LASER Institute, which focuses on AI learning analytics in STEM education. Nancy holds a Master of Science in Data Analytics from Capella University, a Master of Science in Computer Engineering from Duke University, and a Bachelor of Science in Electrical Engineering from Michigan Technological University.
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Jennifer Bly (she/her) is Director of Marketing and Communications at the Linux Foundation where she leads marketing and communications for open source projects like the PyTorch Foundation, High Performance Software Foundation, OpenSSF, and Ultra Ethernet Consortium. She develops marketing strategies that encompass integrated campaigns with an emphasis on public relations, communications, social media engagement, content development, brand storytelling and more. Jennifer has a knack for making complex technical issues easy to understand in ways that motivate people to pay attention and take action. Before joining the Linux Foundation she was the External Relations Manager at the American Registry for Internet Numbers (ARIN), where she led the outreach team to increase the organization’s visibility in the internet community and develop strategic relationships that build customer growth and engagement. Jennifer earned her MA in Mass Communication from the University of Florida and Accreditation in Public Relations (APR) from the Public Relations Society of America (PRSA). Within PRSA she is active on the Executive Committee of the Technology Section. She is passionate about creating a better internet and enjoys getting the word out about people doing great work in the open source community.
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Deb Giles (she/her) is the Event Director for the Linux Foundation’s Collaborative Projects, where she oversees global events, including the PyTorch Conference. With over 15 years of experience in producing conferences, corporate meetings, and trade shows, Deb has worked across a wide range of industries including tech, gaming, and construction. She holds a Bachelor’s degree in Marketing from Azusa Pacific University. Based in Nashville, TN, Deb enjoys traveling, hiking, and spending time with her dog, Shadow, in her free time.
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Jessica Gonzalez (she/her) is a senior-level Release Engineer with 15 years of experience in designing and automating Continuous Integration and Continuous Deployment processes. Jessica is part of the Release Engineering (RE) team at the Linux Foundation (LF). For the past 7 years, she has worked closely with Open Source Organizations including Hyperledger, ONAP, Dent, and Magma.
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Renu (she/her) is a Program Manager at the Linux Foundation. She has extensive experience in Linux, particularly in the Cloud offering Open Source. She is a global speaker with a total IT industry experience of 11 years. Renu holds a bachelor’s degree in Engineering and a diploma in people handling skills from Harvard Business School.
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Chris (he/him) is a PMP-certified technology leader with a consistent record leading high-performing software teams. He has managed projects for clients such as Samsung and MetLife in addition to distributed blockchain development teams like the Aragon DAC. Chris has been developing mobile and web applications for over 20 years and has been working with the Linux Foundation since May 2018. He holds a Systems Design Engineering degree from the University of Waterloo.
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Thanh Ha is a Senior Cloud Operations Engineer at The Linux Foundation, working on the PyTorch CI infrastructure. A seasoned DevOps professional with over 15 years experience, Thanh excels in Infrastructure Optimization: Enhancing the backbone of software development for scalability and performance, Automation Mastery: Streamlining CI/CD pipelines to accelerate development cycles and ensure consistency, and Quality Assurance: Innovating QA and testing processes to deliver robust, high-quality software. With a passion for merging hands-on technical expertise with industry best practices, Thanh collaborates closely with development teams, driving technological advancements and mentoring emerging talent in the DevOps field.
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The PyTorch Foundation's Technical Advisory Council (TAC) provides a forum for technical communication, leadership, and collaboration for the PyTorch Foundation. The committee members are members of the PyTorch Foundation.
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+ The TAC holds open meetings once a month that anyone in the community can attend. The committee provides thought leadership on technical topics, knowledge sharing, and a forum to discuss issues with other technical experts in the community.
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Brian Granger serves as a Senior Principal Technologist at Amazon Web Services and holds the position of associate professor of physics and data science at Cal Poly State University in San Luis Obispo. Additionally, he leads the IPython project, is a co-founder of Project Jupyter, and contributes actively to several other open-source projects centered around data science in Python.
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Jeff Daily is a Fellow at AMD and the chief architect of the Machine Learning Software Engineering group supporting ML frameworks such as PyTorch and onnxruntime on AMD GPUs. He enjoys delivering open source software to answer the challenges of the rapidly-changing ML landscape. For over five years, he has contributed to the PyTorch core as well as its extension libraries. His sustained contributions earned him the first ever Linux Foundation PyTorch Award “for excellence in long-term contributions across all PyTorch modalities.” Though he has not achieved the status of maintainer, Jeff is a trusted contributor. Jeff’s technical leadership is one of the reasons PyTorch runs out of the box without any code modifications on AMD GPUs. In addition to PyTorch technical contributions, Jeff is the AMD representative for the PyTorch Foundation’s Technical Advisory Committee.
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Milos Puzovic is Technical Director at Arm where he is working on accelerating machine learning frameworks such as PyTorch on AArch64. In the past, he worked on designing and developing infrastructure for rapid development and deployment to edge devices and cloud of novel neural models that were trained using semi-supervised approach. He also has interest in optimizing applications through hardware and software co-design by using machine learning, code generation, optimization and verification of high-level models for different types of architecture. Milos has PhD in Computer Science from University of Cambridge where his thesis was on hardware/software interface for dynamic multicore scheduling and BSc with First Class Honors in Joint Mathematics and Computer Science from Imperial College London.
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Jiong Gong is a software architect and principal engineer at Intel, specializing in the optimization of Deep Learning Frameworks and their Intel-accelerated extensions. He has previously worked on Caffe and Caffe2 and is currently focused on PyTorch and the Intel Extension for PyTorch (IPEX). Jiong is responsible for architecture design across the software stack, including frontend APIs, operator optimization, graph compilers, and accelerator library design. As an active contributor to the PyTorch community and one of the maintainers of the PyTorch CPU module, he plays a key role in advancing deep learning technology. Jiong is also an expert in deep learning compression, contributing significantly to Intel’s low-precision deep learning technology, such as DL Boost.
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Luca, CTO at Lightning since 2022, was an early contributor to PyTorch core and co-authored “Deep Learning with PyTorch” (published by Manning). He started his journey as a researcher in bioengineering, and later co-founded Orobix, a company specializing in building and deploying AI in production settings.
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Soumith Chintala is a Scientist-Engineer focused on AI and Robotics, leading influential AI work such as PyTorch, DCGAN and Torch-7; work which is used by several top institutions including NASA, Meta, Google, Tesla, Microsoft, Disney, Genentech, and numerous other Fortune-500 companies and in the curriculum of top-ranked universities such as Stanford, Harvard, Oxford and MIT. He currently leads PyTorch and other AI projects at Meta, is a Visiting Professor at New York University, and maintains advisory roles at various institutions.
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Graduated in 1999 from the ENSAE and doctor in 2004, Xavier Dupré began his career at A2iA, a company specialized in automatic reading of cheques and handwriting recognition. After a short passage in finance, he joined Yahoo in 2008 to work on search query rewriting problems by implementing statistical algorithms designed for all languages. In 2010, Xavier joined Microsoft to participate in the local search engine. He contributed to the partnership between PagesJaunes and Bing. Xavier worked on very large scale problems for Microsoft's search engine Bing. He is now working on Azure Machine Learning. Meanwhile, Xavier Dupré have been teaching programming since 2001 at the ENSAE. The courses have expanded in 2014 to machine learning and technologies associated to big data, including Azure through a partnership between Microsoft France and the ENSAE. More recently, Xavier has explored new ways to teach through hackathons (hackathon Microsoft- ENSAE-Croix-Rouge - November 2015 - video - article), collaborations between academic and non-profitable organization through students projects or coding snack.
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Piotr joined PyTorch team at NVIDIA in 2019 and currently manages the team. He drives NVIDIA's effort in maintaining and advancing PyTorch's CUDA backend and received the PyTorch SUPERHERO award in 2023 for his community contributions especially in the PyTorch discussion board. As a Core Maintainer, he is also focussed on PyTorch's long-term vision and development.
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