# raais.co > AI-optimized mirror of raais.co containing 24 pages totalling 13,767 words of clean markdown content, structured data, and semantic HTML. Original source: https://raais.co/. Last updated: 2026-06-15T03:44:15.851Z. Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG). ## Homepage - [RAAIS - Leading AI Summit](/content/site-root.html): The Research and Applied AI Summit is a community for entrepreneurs and researchers who accelerate the science and applications of AI technology for the common good. RAAIS is a leading London AI event exploring machine learning, deep learning, reinforcement learning, data science, healthcare, life s, The Research and Applied AI Summit is a community for entrepreneurs and researchers who accelerate the science and applications of AI technology for the common good. RAAIS is a leading London AI event exploring machine learning, deep learning, reinforcement learning, data science, healthcare, life sciences, logistics, manufacturing, robotics, fintech, and autonomous technology. (1,170 words) ## Articles & Blog Posts - [speakers-2019/index.html](/content/speakers-2019/index.html) (1 words) - [speakers-2018/index.html](/content/speakers-2018/index.html) (1 words) - [**RAAIS 2017 Speakers**](/content/speakers-2017/index.html): The Research and Applied AI Summit (RAAIS) is London’s premier gathering for AI leaders, researchers, and entrepreneurs. Organised by The RAAIS Foundation and Air Street Capital, RAAIS brings together global experts to explore breakthroughs in machine learning, deep learning, reinforcement learning,, The Research and Applied AI Summit (RAAIS) is London’s premier gathering for AI leaders, researchers, and entrepreneurs. Organised by The RAAIS Foundation and Air Street Capital, RAAIS brings together global experts to explore breakthroughs in machine learning, deep learning, reinforcement learning, data science, healthcare AI, robotics, fintech, and autonomous technologies. Designed to accelerate innovation for the common good, RAAIS is where the AI community connects, learns, and shapes the future. (190 words) - [Surveying the European AI Ecosystem](/content/blog/surveying-the-european-ai-ecosystem/index.html): The Research and Applied AI Summit is a community for entrepreneurs and researchers who accelerate the science and applications of AI technology for the common good. RAAIS is a leading London AI event exploring machine learning, deep learning, reinforcement learning, data science, healthcare, life s, The Research and Applied AI Summit is a community for entrepreneurs and researchers who accelerate the science and applications of AI technology for the common good. RAAIS is a leading London AI event exploring machine learning, deep learning, reinforcement learning, data science, healthcare, life sciences, logistics, manufacturing, robotics, fintech, and autonomous technology. (588 words) - [RAAIS - Leading AI Summit](/content/speakers-2020-sarah-berry-kings-college-london-zoe/index.html): Dr. Sarah Berry is a Senior Lecturer in the Department of Nutritional Sciences at King’s College London and Head of Nutrition Science at ZOE, the London-based AI-first nutritional science startup behind the PREDICT study, which is the world’s largest ongoing nutritional research project of its kind., Dr. Sarah Berry is a Senior Lecturer in the Department of Nutritional Sciences at King’s College London and Head of Nutrition Science at ZOE, the London-based AI-first nutritional science startup behind the PREDICT study, which is the world’s largest ongoing nutritional research project of its kind. In her role, Sarah is a co-investigator of the study. (507 words) - [**COLINE DEVIN**](/content/speakers-2019-coline-devin-berkeley/index.html): Coline is a PhD student at UC Berkeley, advised by Professors Sergey Levine, Pieter Abbeel and Trevor Darrell. Her research lies at the intersection of deep learning, computer vision, and robotics, with specific interest in transfer learning and representation learning. She has published at ICRA, IC, Coline is a PhD student at UC Berkeley, advised by Professors Sergey Levine, Pieter Abbeel and Trevor Darrell. Her research lies at the intersection of deep learning, computer vision, and robotics, with specific interest in transfer learning and representation learning. She has published at ICRA, ICLR, and CORL, and she received the NSF Graduate Fellowship in 2017. (360 words) - [The RAAIS Community](/content/blog/raais-community/index.html): The Research and Applied AI Summit is a community for entrepreneurs and researchers who accelerate the science and applications of AI technology for the common good. RAAIS features speakers from Graphcore, DeepMind, Stanford, Berkeley, Lyft, Niantic, Toronto, Mapillary, Darktrace, GoogleAI and more., The Research and Applied AI Summit is a community for entrepreneurs and researchers who accelerate the science and applications of AI technology for the common good. RAAIS features speakers from Graphcore, DeepMind, Stanford, Berkeley, Lyft, Niantic, Toronto, Mapillary, Darktrace, GoogleAI and more. Join us at RAAIS 2020 on June 26th. (669 words) - [**Jonathan Bloom**](/content/speakers-2019-jonathan-bloom-broad-institute/index.html): Jonathan is an Institute Scientist at Broad. He co-founded the Hail team to build distributed systems now used throughout academia and industry to harness the flood of sequenced genomes to uncover the biology of disease. He is also founding director of the Models, Inference, and Algorithms Initiativ, Jonathan is an Institute Scientist at Broad. He co-founded the Hail team to build distributed systems now used throughout academia and industry to harness the flood of sequenced genomes to uncover the biology of disease. He is also founding director of the Models, Inference, and Algorithms Initiative (MIA) to drive education and collaboration at the interface of biology and computation. (502 words) - [**JAMES FIELD**](/content/speakers-2019-james-field-labgenius/index.html): Driven by his passion for protein engineering, James Field founded LabGenius in 2012 while still a PhD student at Imperial College London. During his degree, James used protein engineering to develop a platform for targeted drug delivery using nanocages. LabGenius’ mission is harness evolution using, Driven by his passion for protein engineering, James Field founded LabGenius in 2012 while still a PhD student at Imperial College London. During his degree, James used protein engineering to develop a platform for targeted drug delivery using nanocages. LabGenius’ mission is harness evolution using AI to generate radically novel therapeutic proteins. (405 words) - [ALEX RATNER](/content/speakers-2019-alex-ratner-stanford-university/index.html): Alex Ratner is a 5th year PhD student in Computer Science at Stanford University working with Chris Ré in the DAWN, Info, and StatsML labs at Stanford, where he leads the Snorkel project (snorkel.stanford.edu). Alex’s research focuses on applying data management and statistical learning principles t, Alex Ratner is a 5th year PhD student in Computer Science at Stanford University working with Chris Ré in the DAWN, Info, and StatsML labs at Stanford, where he leads the Snorkel project (snorkel.stanford.edu). Alex’s research focuses on applying data management and statistical learning principles to emerging machine learning workflows. (432 words) - [RAAIS - Leading AI Summit](/content/speakers-2019-david-healey-recursion-pharmaceuticals.html): David Healey is a Senior Data Scientist at Recursion Pharmaceuticals. The company is recognised as a leader in taking advantage of recent advances in automation, computer vision, and AI to enable faster drug discovery at scale., David Healey is a Senior Data Scientist at Recursion Pharmaceuticals. The company is recognised as a leader in taking advantage of recent advances in automation, computer vision, and AI to enable faster drug discovery at scale. (383 words) - [**aaron kimball**](/content/speakers-2019-aaron-kimball-zymergen/index.html): Aaron Kimball is Chief Technology Officer of Zymergen. He is responsible for delivering the AI systems, laboratory automation, software and data architecture that facilitates Zymergen’s approach to genome engineering., Aaron Kimball is Chief Technology Officer of Zymergen. He is responsible for delivering the AI systems, laboratory automation, software and data architecture that facilitates Zymergen’s approach to genome engineering. (401 words) - [**ASHISH VASWANI**](/content/speakers-2019-ashish-vaswani-google-ai/index.html): Ashish Vaswani is a Senior Research Scientist in the Brain group within GoogleAI, where he works on machine learning with neural networks. His research has focussed on developing pure attention based models, such as the Transformer for generation and classification. Before joining Google, he was a , Ashish Vaswani is a Senior Research Scientist in the Brain group within GoogleAI, where he works on machine learning with neural networks. His research has focussed on developing pure attention based models, such as the Transformer for generation and classification. Before joining Google, he was a PhD student, and later Research Scientist, in natural language processing at USC. (303 words) - [**TRAVIS ADDAIR**](/content/speakers-2019-travis-addair-uber/index.html): Travis Addair is a senior software engineer working on the Michaelangelo machine learning platform (read more here). Michaelangelo covers the end-to-end ML workflow to enable internal teams to seamlessly build, deploy, and operate machine learning solutions at Uber’s scale. The system supports tradi, Travis Addair is a senior software engineer working on the Michaelangelo machine learning platform (read more here). Michaelangelo covers the end-to-end ML workflow to enable internal teams to seamlessly build, deploy, and operate machine learning solutions at Uber’s scale. The system supports traditional ML models, time series forecasting, and deep learning. (473 words) - [**Kunle Olukotun**](/content/speakers-2019-kunle-olukotun-stanford-sambanova/index.html): Kunle Olukotun is the Cadence Design Systems Professor of Electrical Engineering and Computer Science at Stanford University. At Stanford, Kunle currently directs the Pervasive Parallelism Lab (PPL). Kunle is co-founder and Chief Technologist at SambaNova Systems, a company focused on building high-, Kunle Olukotun is the Cadence Design Systems Professor of Electrical Engineering and Computer Science at Stanford University. At Stanford, Kunle currently directs the Pervasive Parallelism Lab (PPL). Kunle is co-founder and Chief Technologist at SambaNova Systems, a company focused on building high-performance ML and big data analytics platforms based on AI processors. They recently raised $150M. (360 words) - [**ANDREW TRASK**](/content/speakers-2019-andrew-trask-oxford-openmined-deepmind.html): Andrew is both a PhD Student at the University of Oxford and Research Scientist at DeepMind in London. His work focuses on Privacy and Deep Learning. In addition to his research, Andrew is the author of Grokking Deep Learning, a Manning Publications introductory book which has sold over 10,000 copie, Andrew is both a PhD Student at the University of Oxford and Research Scientist at DeepMind in London. His work focuses on Privacy and Deep Learning. In addition to his research, Andrew is the author of Grokking Deep Learning, a Manning Publications introductory book which has sold over 10,000 copies (it’s not even a year old!). Andrew is also an instructor for Udacity. (515 words) - [**Brendan McMahan**](/content/speakers-2019-brendan-mcmahan-google/index.html): Brendan a Senior Staff Research Scientist at Google, where he leads efforts on decentralized and privacy-preserving machine learning. The team that he co-founded has pioneered the concept of federated learning and continues to push the boundaries of what is possible when working with decentralized d, Brendan a Senior Staff Research Scientist at Google, where he leads efforts on decentralized and privacy-preserving machine learning. The team that he co-founded has pioneered the concept of federated learning and continues to push the boundaries of what is possible when working with decentralized data using privacy-preserving techniques. (370 words) - [RAAIS - Leading AI Summit](/content/speakers-2019-morten-dahl-dropout-labs/index.html): Morten works in privacy-preserving machine learning and is the creator of TF Encrypted, an open source project for integrating and experimenting with secure machine learning in TensorFlow. With a background in cryptography and privacy, Morten has spent recent years applying and adapting techniques f, Morten works in privacy-preserving machine learning and is the creator of TF Encrypted, an open source project for integrating and experimenting with secure machine learning in TensorFlow. With a background in cryptography and privacy, Morten has spent recent years applying and adapting techniques from these fields to machine learning, focusing on practical tools and concrete applications. (286 words) - [RAAIS - Leading AI Summit](/content/speakers-2019-sarah-jarvis-prowler-io/index.html): Sarah Jarvis is a computer engineer and neuroscientist with a career founded on applying intelligent solutions to real-world problems. As Head of Data Science at PROWLER.io in Cambridge, she works with a global team of researchers and engineers in building PROWLER.io’s ground-breaking decision-makin, Sarah Jarvis is a computer engineer and neuroscientist with a career founded on applying intelligent solutions to real-world problems. As Head of Data Science at PROWLER.io in Cambridge, she works with a global team of researchers and engineers in building PROWLER.io’s ground-breaking decision-making platform. (300 words) - [**Peter Eckersley**](/content/speakers-2019-peter-eckersley-partnership-on-ai/index.html): Peter Eckersley is Director of Research at the Partnership on AI, a collaboration between the major technology companies, civil society and academia to ensure that AI is designed and used to benefit humanity. He leads PAI's research on machine learning policy and ethics, including projects within PA, Peter Eckersley is Director of Research at the Partnership on AI, a collaboration between the major technology companies, civil society and academia to ensure that AI is designed and used to benefit humanity. He leads PAI's research on machine learning policy and ethics, including projects within PAI itself and projects in collaboration with the Partnership's extensive membership. (454 words) - [**carlo luschi**](/content/speakers-2019-carlo-luschi-graphcore/index.html): Carlo Luschi is Director of Research at Graphcore. He is responsible for the study and development of algorithms for machine intelligence. Prior to Graphcore, Carlo was a Member of Technical Staff at Bell Labs Research, Lucent Technologies, and more recently Director of Algorithms and Standards at I, Carlo Luschi is Director of Research at Graphcore. He is responsible for the study and development of algorithms for machine intelligence. Prior to Graphcore, Carlo was a Member of Technical Staff at Bell Labs Research, Lucent Technologies, and more recently Director of Algorithms and Standards at Icera Inc., which was acquired by NVIDIA in 2011. (413 words) - [sitemap-xml.html](/content/sitemap-xml.html) (3,531 words) - [RAAIS - Leading AI Summit](/content/welcome/index.html): The Research and Applied AI Summit is a community for entrepreneurs and researchers who accelerate the science and applications of AI technology for the common good. RAAIS is a leading London AI event exploring machine learning, deep learning, reinforcement learning, data science, healthcare, life s, The Research and Applied AI Summit is a community for entrepreneurs and researchers who accelerate the science and applications of AI technology for the common good. RAAIS is a leading London AI event exploring machine learning, deep learning, reinforcement learning, data science, healthcare, life sciences, logistics, manufacturing, robotics, fintech, and autonomous technology. (1,153 words) ## Resources - [Full Page Index](/index.html): Browse all cached pages with rich metadata - [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines - [XML Sitemap](/sitemap.xml): Machine-readable sitemap for crawler discovery - [Robots.txt](/robots.txt): Crawler directives