Where did the DeepMind Professor of Machine Learning at the University of Cambridge complete his Bachelors in Engineering degree?
University of Southampton
Nicoló Fusi et al.: Detecting regulatory gene-environment interactions with unmeasured environmental factors. (2012) authored by Neil D. Lawrence. Ricardo Andrade Pacheco et al.: Monitoring Short Term Changes of Gene Expression Time Series. (2012) authored by Neil D. Lawrence. Nicoló Fusi et al.: Identifying Submodules of Cellular Regulatory Networks. (2006) authored by Neil D. Lawrence. Ricardo Andrade Pacheco et al.: Monitoring Short Term Changes of Malaria Incidence in Uganda with Gaussian Processes. (2015) authored by Neil D. Lawrence. Neil D. Lawrence is the author of "A reverse-engineering approach to dissect post-translational modulators of transcription factor's activity from transcriptional data.". Michael T. Smith et al.: Differentially Private Regression with Gaussian Processes. (2018) authored by Neil D. Lawrence. Zhenwen Dai et al.: Efficient inference for sparse latent variable models. (2018) authored by Neil D. Lawrence. Neil D. Lawrence has been called "commendable" by Demis Hassabis. Raquel Urtasun et al.: Topologically-constrained latent variable models. (2008) authored by Neil D. Lawrence. James Hensman et al.: Fast variational inference for nonparametric clustering of structured time-series. (2014) authored by Neil D. Lawrence.
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Question: Where did the DeepMind Professor of Machine Learning at the University of Cambridge complete his Bachelors in Engineering degree?
Context: Nicoló Fusi et al.: Detecting regulatory gene-environment interactions with unmeasured environmental factors. (2012) authored by Neil D. Lawrence. Ricardo Andrade Pacheco et al.: Monitoring Short Term Changes of Gene Expression Time Series. (2012) authored by Neil D. Lawrence. Nicoló Fusi et al.: Identifying Submodules of Cellular Regulatory Networks. (2006) authored by Neil D. Lawrence. Ricardo Andrade Pacheco et al.: Monitoring Short Term Changes of Malaria Incidence in Uganda with Gaussian Processes. (2015) authored by Neil D. Lawrence. Neil D. Lawrence is the author of "A reverse-engineering approach to dissect post-translational modulators of transcription factor's activity from transcriptional data.". Michael T. Smith et al.: Differentially Private Regression with Gaussian Processes. (2018) authored by Neil D. Lawrence. Zhenwen Dai et al.: Efficient inference for sparse latent variable models. (2018) authored by Neil D. Lawrence. Neil D. Lawrence has been called "commendable" by Demis Hassabis. Raquel Urtasun et al.: Topologically-constrained latent variable models. (2008) authored by Neil D. Lawrence. James Hensman et al.: Fast variational inference for nonparametric clustering of structured time-series. (2014) authored by Neil D. Lawrence.
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