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"His proposal to use Machine Learning to accelerate R&D processes in material science, beginning with thermoelectricity, is both innovative and promising"
Prof. David Quigley
Director of the Scientific Computing Research Technology Platform (SCRTP)
Department of Physics, University of Warwick
"What truly excites me… is its potential to revolutionise material science R&D. His application of Machine Learning to expedite the discovery and development of […] materials is not only visionary but also aligned with the evolving needs of the industry… I eagerly anticipate the impact of his venture"
Dr. Sara Sangtarash
Assistant Professor in Nanoelectronics and Leverhulme Fellow School of Engineering,
University of Warwick
"I’m still very interested in this problem. It sounds good that you are interested in ML for material science. […] looking forward to potential collaboration"
Dr. Ke Li UKRI FLF
Turing Fellow Senior Lecturer Department of Computer Science, University of Exeter
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