Andrew Fitzgibbon is an Engineering Fellow at Graphcore, working on the future of computing hardware and programming for AI and numerical computing. He is best known for his work on computer vision: he was a core contributor to the Emmy-award-winning 3D camera tracker “boujou”, having co-founded the company “2d3”, with Andrew Zisserman, Julian Morris, and Nick Bolton; at Microsoft, he introduced massive synthetic training data for Kinect for Xbox 360; and was science lead on the real-time hand tracking in Microsoft's HoloLens. His research interests are broad, spanning computer ...

Maya is a Research Scientist at Meta and a last-year Ph.D. candidate in Computer Science at Tel Aviv University, where she is also a Lecturer, teaching "Machine Learning with Graphs." She is a domain expert in Graph Machine Learning, with research spanning both theoretical and applied aspects, including its integration with LLMs and Interpretability. Her work focuses on Graph Neural Networks , exploring their foundations and real-world applications.

Baptiste is leading the code generation team at Mistral AI. Previously, he was a research scientist in the codegen team at Meta AI in Paris working. He contributed to Llama and led Code Llama. During his PhD at Meta AI and Université Paris Dauphine, Baptiste conducted research on unsupervised translation of programming languages and model pre-training for code. His work was featured in dozens of news articles in more than ten languages. Prior to that, Baptiste worked as an applied scientist in the dynamic advertising team at Amazon.

Dr. Fátima Sánchez Cabo graduated in Mathematics from the Complutense University of Madrid in 2000. From there she moved to the University of Manchester where she obtained a grant from the BBSRC to develop her doctoral work on statistical analysis and mathematical data modeling of microarrays. In 2005 she joined the Institute of Genomics and Bioinformatics of the Polytechnic University of Graz, Austria, where she developed her work first as a postdoctoral researcher and later as an associate professor. Since 2008 she has been working at the CNIC, leading the Bioinformatics Unit since 2017 ...

Babak Ehteshami Bejnordi is a Research Scientist at Qualcomm AI Research in the Netherlands, leading a research group focusing on conditional computation for efficient deep learning. His primary research focus lies in the realm of efficient Deep Learning for Large Language Models (LLMs) and Computer Vision. His recent research works have been in the areas of Efficient Autoregressive decoding in LLMs, Mixture of Experts, Multi-Task Learning, and Continual Learning. Babak obtained his Ph.D. in machine learning for breast cancer diagnosis from Radboud University in the Netherlands. During his ...

Stefan Haufe is a joint Associate Professor of Uncertainty, Inverse Modeling, and Machine Learning at Technische Universität Berlin and Physikalisch-Technische Bundesanstalt Berlin. He also serves as a Group Leader at Charité - Universitätsmedizin Berlin, where his research focuses on developing advanced computational methods. His group specializes in signal processing, inverse modeling, and machine learning techniques for analyzing neuroimaging and other medical data. This work aims to address challenges in understanding complex physiological processes and improving medical diagnostics ...

Grigory is the CTO and co-founder of Intento, a company dedicated to advancing machine learning and artificial intelligence technologies. Before founding Intento, he gained extensive experience in both industry and academia, working at Yandex and the Higher School of Economics. With a career spanning over 25 years in software engineering, Grigory has dedicated nearly 20 years to data analysis, artificial intelligence, and machine learning, building expertise in these cutting-edge fields. Since 2011, Grigory has been deeply involved in deep learning, contributing to the development and ...

Patricia Schmidtova is a Ph.D. student in Natural Language Processing (NLP) at Charles University, focusing on semantic accuracy in natural language generation and its evaluation methodologies. Her work has earned her Best Paper Awards at EACL and INLG. With seven years of industry experience, she has specialized in implementing NLP components for task automation in the banking sector. In her talk, Patricia will share her experience designing an automatic evaluation protocol to assess the reliability of millions of summaries generated by large language models (LLMs).

A principal ML engineer and an ex startup CTO working on modern search and recommendations problems. A pragmatic fan of open-source software, functional programming, LLMs and performance engineering.