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I am a first year PhD student supervised by Prof Carl Rasmussen. I completed my undergraduate degree (MEng, BA) here at Cambridge University Engineering Department in 2017, and am affiliated with Churchill college. My research interests are in Bayesian inference in non-linear time series models.
Read more →I’m a PhD student supervised by Adrian Weller and advised by José Miguel Hernández-Lobato (started in October 2019, Sidney Sussex College). I am funded by the Department of Engineering and Trust Scholarship. Before entering a PhD program I’ve received a Bachelor’s degree in Computer Science from Ural Federal University (2017, Yekaterinburg, Russia) and Master’s degree […]
Read more →Elre joined the PhD program in October 2018. She is supervised by Richard Turner and advised by Adrian Weller. She previously studied at the University of Pretoria, South Africa, where she completed her BSc, BSc(Hons) and MSc in Computer Science, as well as a BSc (Hons) degree in Mathematics. She is a member of Churchill […]
Read more →Jonathan is a PhD student in the machine learning group under the supervision of Richard Turner, and is funded by the Harding Distinguished Scholarship Programme. After graduating from the University of Kent with a BSc in Computer Science, Jonathan spent several years working in finance as both a systems programmer and trader. He later studied […]
Read more →I am a PhD student in the Machine Learning Group at the University of Cambridge, supervised by José Miguel Hernández-Lobato, and a member of Darwin College. Before starting the PhD, I was a consultant for Wolfram Research where I helped develop the deep learning library for Mathematica. I hold an MPhil in Advanced Machine Learning […]
Read more →Originally from Zaragoza, Spain, Javier graduated from the University of Zaragoza in Telecommunications Engineering (EE/CS) in 2018. Javier went on to receive an MPhil in Machine Learning and Machine Intelligence from the University of Cambridge in 2019. Following this, he joined the group as a PhD student in 2019, under the supervision of Dr. José […]
Read more →Umang is a PhD student in University of Cambridge’s Machine Learning Group supervised by Adrian Weller. He completed a joint bachelors-masters in Electrical and Computer Engineering at Carnegie Mellon University, where he was advised by José Moura and worked with Pradeep Ravikumar and Zico Kolter. He is funded by the Trust and Transparency Initiative at […]
Read more →Austin is a PhD student in the Cambridge Machine Learning group, researching machine learning with a focus on scientific applications (especially chemistry and materials). He is supervised by José Miguel Hernández-Lobato and advised by Adrian Weller. Before coming to Cambridge, he received a BASc in nanotechnology engineering from the University of Waterloo in Canada. He […]
Read more →Yen-Chen is a PhD student in the Machine Learning Group at the University of Cambridge, supervised by Prof. Carl Edward Rasmussen. He received an BSc and MSc in Electrical Engineering from National Taiwan University. He is funded by Cambridge Trust. His work is about model-based reinforcement learning for spoken dialogue systems.
Read more →I’m a PhD student, supervised by José Miguel Hernández-Lobato and Zoubin Ghahramani. I did my undergraduate degree at the University of Oxford, supervised by Frank Wood and Jan-Willem van de Meent. My core interests are: exploration in reinforcement learning, Bayesian optimisation and bandits.
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