Atinary adds machine learning expert to advisory board
As a machine learning expert, Prof. Hernández-Lobato joins Atinary's advisory board as the company continues to bring the SDLabs technology AI solutions to R&D labs.
📣 We are thrilled to announce the latest addition to Atinary’s Scientific Advisory Board (SAB): Prof. José Miguel Hernández-Lobato!
José Miguel Hernández-Lobato is a Professor of Machine Learning at the Department of Engineering in the University of Cambridge, UK. His research revolves around model-based machine learning with a focus on probabilistic learning techniques and with a particular interest on Bayesian optimization, matrix factorization methods, copulas, Gaussian processes and sparse linear models. A general feature of his work is also an emphasis on fast methods for approximate Bayesian inference that scale to large datasets.
“It is an honor adding Professor Hernández-Lobato to our extraordinary Scientific Advisory Board. He brings with him a wealth of experience in designing and implementing scalable machine learning methods that will help Atinary to continue providing cutting-edge solutions in the AI revolution.” said Dr. Hermann Tribukait, Co-founder and CEO.
Dr. Loïc Roch, Co-founder and CTO added that “Professor Hernández-Lobato’s insights and expertise will be instrumental as we continue to push the boundaries of Bayesian optimization and AI-driven experimentation to accelerate R&D and innovation across industries. We are excited to collaborate and leverage his guidance and expertise to propel our vision forward.”
🚀 Join us in welcoming Professor Hernández-Lobato to the team!
- Horst Simon, Ph.D. (Ret. Deputy Director at Lawrence Berkeley National Laboratory, Berkeley, USA)
- Joshua Schrier, Ph.D. (Professor at Fordham University, New York City, USA)
- Alex Norquist, Ph. D. (Professor at Haverford College, Haverford, USA)
- José Miguel Hernández-Lobato, Ph. D. (Professor at University of Cambridge, Cambridge, UK)
