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Author Information
Wilson Lee (The Trevor Project)
Munmun De Choudhury (Georgia Institute of Technology)
Morgan Scheuerman (University of Colorado, Boulder)
Julia Hamer-Hunt (University of Oxford)
Lay contributor (Patient and public involvement and engagement (PPIE)) in research with a particular interest in mental health & psychiatry. More recently, I have become increasingly involved in the use of AI and digital applications to aid and assist clinicians in the diagnostic and treatment process.
Dan Joyce (University of Oxford)
Nenad Tomasev (DeepMind)
Kevin McKee (DeepMind)
Shakir Mohamed (DeepMind)

Shakir Mohamed is a senior staff scientist at DeepMind in London. Shakir's main interests lie at the intersection of approximate Bayesian inference, deep learning and reinforcement learning, and the role that machine learning systems at this intersection have in the development of more intelligent and general-purpose learning systems. Before moving to London, Shakir held a Junior Research Fellowship from the Canadian Institute for Advanced Research (CIFAR), based in Vancouver at the University of British Columbia with Nando de Freitas. Shakir completed his PhD with Zoubin Ghahramani at the University of Cambridge, where he was a Commonwealth Scholar to the United Kingdom. Shakir is from South Africa and completed his previous degrees in Electrical and Information Engineering at the University of the Witwatersrand, Johannesburg.
Danielle Belgrave (DeepMind)
Christopher Burr (The Alan Turing Institute)

I am an Ethics Fellow of the [Alan Turing Institute's](https://www.turing.ac.uk/people/researchers/christopher-burr) Public Policy Programme. My research expertise includes trustworthy AI systems, digital mental healthcare, responsible research and innovation, data ethics, and philosophy of cognitive science 🧠. My research has been featured in the [Conversation](https://theconversation.com/charities-are-contributing-to-growing-mistrust-of-mental-health-text-support-heres-why-179056), the [Guardian](https://www.theguardian.com/society/2022/feb/19/mental-health-helpline-funded-by-royals-shared-users-conversations), BBC Radio 4, the [New York Times](https://www.nytimes.com/2019/08/30/technology/facebook-instagram-threads.html) and [Vox](https://www.vox.com/science-and-health/2018/11/28/18102745/cellphone-distraction-brain-health-screens-kids). I have also advised numerous policy makers and worked with the Ministry of Justice, Office for Artificial Intelligence, Information Commissioner's Office, Centre for Data Ethics and Innovation, the Department for Digital, Culture, Media and Sport, and the Department of Health and Social Care. But my most important research is the constant learning involved with being a loving father and husband 👨👩👧! When I'm not figuring out how to do the above, you can find me at the bouldering gym figuring out how to ascend a bouldering problem 🧗 Please see [here](https://chrisdburr.github.io/publications) for a full list of publications and links to articles (with and without paywalls 💰).
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2020 : Remarks from the WiML 2020 Diversity & Inclusion Chairs »
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2020 Affinity Workshop: Muslims in ML »
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2019 : Implementing Responsible AI »
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2019 Poster: Training Language GANs from Scratch »
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2018 Poster: Implicit Reparameterization Gradients »
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2018 Poster: Inequity aversion improves cooperation in intertemporal social dilemmas »
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2016 Poster: Unsupervised Learning of 3D Structure from Images »
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2016 Tutorial: Variational Inference: Foundations and Modern Methods »
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2015 Workshop: Advances in Approximate Bayesian Inference »
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2015 Poster: Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning »
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2014 Workshop: Advances in Variational Inference »
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2014 Poster: Semi-supervised Learning with Deep Generative Models »
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2012 Workshop: Bayesian Optimization and Decision Making »
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2012 Poster: Expectation Propagation in Gaussian Process Dynamical Systems »
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2012 Poster: Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression »
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2009 Poster: Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process »
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2008 Poster: Bayesian Exponential Family PCA »
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