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Adam Foster
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Adam Foster
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Adam Foster Adam Foster Papers Talks Posts Code Collaborators OxCSML page GitHub Google Scholar LinkedIn CV I am a senior researcher at Microsoft Research AI4Science where I work on machine learning methods for chemistry with Frank Noé and Jan Hermann , focusing on QMC. I also have a strong interest in Bayesian experimental design and active learning. I am driven by the desire to understand how machine learning can help us to solve critical problems in the sciences and to build new, sustainable technology. Previously, I did my PhD in Statistical Machine Learning at the University of Oxford, supervised by Yee Whye Teh and Tom Rainforth in the Computational Stats and Machine Learning Group in the Department of Statistics . Before starting my PhD, I studied mathematics at Cambridge where my Director of Studies was Julia Gog . A large part of my PhD work was on Bayesian experimental design: how do we design experiments that will be most informativ...
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