Level Up Your AI Skills With These Announced ODSC East 2025 Speakers
We’re thrilled to introduce you to the leading experts and passionate data and AI practitioners who will be guiding you through an exploration of the latest in AI and data science at ODSC East 2025 this May 13th to 15th. These luminaries come from the companies and institutions at the forefront of innovation. Learn more about these game-changers here and stay tuned for more information on their sessions and for more speakers to be announced.
Ryan Harter, Senior Staff Data Scientist at Shopify
Ryan Harter empowers executives to make informed decisions by simplifying complex data insights. With experience at Google and Mozilla, his work bridges data science and decision-making, offering actionable value through expertise and accessible content on his blog.
Robert Brennan, CEO of All Hands AI
Robert Brennan leads the development of OpenHands, a fully autonomous AI developer revolutionizing software creation. With 15 years of experience in NLP and developer tools, including roles at Google and Fairwinds, his work is shaping the future of AI-driven development.
Allen Downey, PhD, Curriculum Designer at Brilliant.org and Professor Emeritus at Olin College
Allen has authored influential books like Think Python and Think Bayes, which have shaped how learners approach programming and Bayesian statistics. His work bridges academia and accessible education, making complex concepts comprehensible for a broad audience.
Dr. Jon Krohn, Chief Data Scientist at Nebula.io
John is a leading voice in machine learning, known for his bestselling book Deep Learning Illustrated and the SuperDataScience podcast. With a PhD from Oxford and over a decade of research in top journals, his engaging lectures and YouTube content inspire professionals and enthusiasts worldwide.
Suman Debnath, Principal AI/ML Advocate at Amazon Web Services
Suman specializes in cutting-edge AI topics like LLMs, NLP, and RAG, using open-source tools to drive innovation. With a global presence at over 100 events, his expertise and advocacy are advancing the machine learning community worldwide.
Andras Zsom, PhD, Assistant Professor of the Practice and Director of Graduate Studies at the Data Science Institute, Brown University
Andras shapes the next generation of data scientists through his leadership in curriculum design and teaching. His research on missing data, interpretability, and ML pipelines equips students with essential skills to address real-world challenges.
Mohammad Soltanieh-ha, PhD, Clinical Assistant Professor at Boston University
Mohammad bridges academic research and practical applications in AI, with contributions to macroeconomic forecasting, cancer-focused computer vision, and high-performance computing. As a Google Cloud Faculty Expert and founding chair of the American Physical Society’s data science unit, he drives innovation and education in AI and data science.
Rajiv Shah, PhD, Machine Learning Engineer at Contextual AI
Rajiv enables enterprise success through his expertise at leading AI firms like Hugging Face and Snorkel. With a PhD in Communications, 20+ research papers, 20 patents, and impactful work in sports analytics and deep learning, his contributions bridge innovation and accessibility, amplified by his popular social media content, @rajistics.
Peter Henstock, PhD, Senior Machine Learning Engineer at Incyte
Peter applies AI and software engineering to advance drug discovery and clinical trials. With a PhD in AI, seven Master’s degrees, and recognition as a global leader in AI for Pharma, his contributions are shaping healthcare innovation while inspiring future talent through teaching at Harvard.
Noah Giansiracusa, PhD, Associate Professor of Mathematics and Data Science at Bentley University
Noah explores the societal impact of algorithms through his books and writings, including How Algorithms Create and Prevent Fake News. His work, featured in top publications and media outlets like Scientific American and CNN, bridges mathematics and real-world issues, empowering individuals to understand and navigate algorithmic influence.
Edward Donner, Co-founder and CTO of Nebula.io
Ed leverages Generative AI to transform talent management and help people unlock their potential. With a background as the founder of untapt and a former Managing Director at JPMorgan Chase, his contributions to AI startups and deep learning, including a 2023 patent, are reshaping industries and careers.
Dr. Andre Franca, CTO of Ergodic
Andre is advancing decision-making with AI powered by world models. With previous leadership roles at causaLens, applying Causal AI, and Goldman Sachs, his expertise in quantitative models and theoretical physics, including research on black holes, drives innovation in both business and scientific domains.
Finale Doshi Velez, Professor at Harvard University
Finale pioneers research at the intersection of machine learning, healthcare, and interpretability. With advanced degrees from the University of Cambridge and MIT, her work is driving innovations in AI that enhance transparency and understanding in critical healthcare applications.
Chen Wang, Lead Alliance Solution Architect at AI21 Labs
Chen drives strategic partnerships and advanced AI solutions. With a Ph.D. in Physics from NYU and leadership roles at IBM and DataRobot, his expertise in data science and AI positions him as a key innovator in both research and industry collaboration.
Eric Xing, PhD, Professor at CMU and President of MBZUAI
Eric is a leading figure in machine learning and statistical methodology, focusing on large-scale systems for automated learning and decision-making. His recent work on language models, world models, and foundation models for biology is shaping the future of AI across diverse fields, supported by numerous prestigious awards and fellowships.
Sinan Ozdemir, AI & LLM Expert, Author, and Founder + CTO of LoopGenius
Sinan is revolutionizing marketing for startups through AI and LLMs. With a background in mathematics and data science, including his work as an AI author and advisor to Tola Capital, his expertise in NLP and AI has shaped business strategies and educated professionals in the field.
Freddy Boulton, Software Engineer at Hugging Face
Freddy has dedicated his career to improving how machine learning models are communicated to stakeholders. As a key contributor to Gradio, an open-source Python library, he is empowering data scientists to create interactive demos with ease, streamlining model sharing and collaboration.
Christopher Amato, PhD, Associate Professor Khoury College of Computer Science at Northeastern University
Christopher specializes in AI, robotics, and multi-agent systems, particularly focusing on autonomous decision-making in uncertain environments with limited communication. His research develops scalable algorithms for applications like multi-robot navigation and search and rescue, addressing real-world challenges in disaster response and large-scale coordination.
Michael Galarnyk, LinkedIn Learning Instructor and PhD Student at the Georgia Institute of Technology
Michael researches machine learning’s impact on financial markets, particularly the influence of social media on financial returns. With experience teaching Python and machine learning at institutions like Stanford and UCSD Extension, and previous work at Scripps Research Translational Institute on wearable data for health outcomes, he bridges AI, finance, and healthcare innovation.
Younes Bensouda Mourri, Founder of LiveTech.AI and Lecturer of Computer Science at Stanford University
Younes teaches AI at Stanford University and advocates for AI powered education. He is the founder of LiveTech.AI which builds AI tools for educators, and is the co-president of the Stanford MENA Alumni Association. Online, he has over 1.3 million learners and is currently based in Silicon Valley.
Bill Shander, LinkedIn Learning Instructor and Founder of Beehive Media
Bill is an information designer who helps clients turn their data into compelling visual and interactive experiences, with clients including the World Bank, United Nations, Starbucks, PwC, MIT, and multiple U.S. Government agencies. He spends most of his time teaching data storytelling, information design, data visualization, and related tools on platforms like LinkedIn Learning, Skillshare, and at the University of Vermont. Bill is passionate about speaking at conferences, offering polished talks on data storytelling and visualization, as well as a new keynote on creativity and innovation.
Manolis Kellis, PhD, Professor of Computer Science at MIT and Harvard
Manolis is a member of both the Broad Institute of MIT and Harvard and the MIT Computer Science and Artificial Intelligence Lab, where he directs the MIT Computational Biology Group. His groundbreaking research in disease genetics, epigenomics, and gene circuitry has led to over 230 journal publications and numerous large-scale genomics projects, including the Roadmap Epigenomics and GTEx projects. Kellis has received multiple prestigious awards, including the US Presidential Early Career Award and the NSF CAREER award, and holds a Ph.D. from MIT.
Julien Simon, Chief Evangelist at Arcee.ai
Julien helps enterprise clients create high-quality and cost-efficient AI solutions using open-source small language models. With over 30 years of tech experience, including extensive roles in cloud computing and machine learning, he shares his expertise through demos, blogs, and YouTube videos. Prior to Arcee.ai, Julien was Chief Evangelist at Hugging Face and Global Technical Evangelist at AWS, in addition to serving as CTO at several startups.
Great! How can I meet them?
ODSC East 2025 coming up this May 13th-15th in Boston, MA, in addition to virtually, is the best AI conference for AI builders and data scientists there is. Come learn from experts representing the biggest names in AI like Google, Microsoft, Amazon, and others, network with hundreds of other like-minded individuals, and get hands-on with everything you need to excel in the field.
