Chris Van Pelt is a co-founder of Weights & Biases, a developer MLOps platform. In 2009, Chris founded Figure Eight/CrowdFlower. Over the past 12 years, Chris has dedicated his career optimizing ML workflows and teaching ML practitioners, making machine learning more accessible to all. Chris has worked as a studio artist, computer scientist, and web engineer. He studied both art and computer science at Hope College.

I am Shubham Agarwal, Staff ML Engineer at LinkedIn with a focus on content moderation, I have spent the last five years at the intersection of machine learning and real-world applications. My work is driven by a deep passion for applying AutoML technologies to solve complex business problems at scale, affecting millions of lives. I am eager to share insights and strategies at AutoML 2024, demonstrating the transformative potential of AutoML in creating impactful, scalable solutions

Hideaki Imamura is a researcher at Preferred Networks, Inc., and one of the core developers involved with Optuna development since 2020. He earned his Master’s degree in Computer Science from The University of Tokyo. He was the project manager for Optuna V3.0, is one of the authors of the Japanese book on Optuna and book on Bayesian optimization, and has been invited to give lectures and tutorials on Optuna and Bayesian optimization at ICIAM 2023 workshops and multiple domestic workshops in Japan.

Johannes Hoffart is heading the AI CTO office at SAP, a group of technology experts and scientists driving the development of business foundation models and knowledge graphs on SAP’s structured data. Before joining SAP in 2021, Johannes has led an AI research group on NLP and Knowledge Graphs at Goldman Sachs and co-founded a spin-off from the Max Planck Institute for Informatics with the goal of enabling businesses to tap into their knowledge hidden in text.

I am Rahma, a research scientist at Google Deepmind. Before that I was a Ph.D. candidate at Facebook AI Research and ENS Ulm, advised by Prof. Marco Baroni and Prof. Emmanuel Dupoux.

I am interested in understanding what made our language unique and how we can endow artificial models with such a communication protocol. My recent work has centered on LLM pre/post-training within the Gemini team, where I played a key role in the release of Gemini Pro 1.5 with 1M context window.