Past Students at the AIMS CDT

Meet some of our alumni

Our graduates are equipped for leadership roles in industry both nationally and internationally; others continue on to postdoctoral research, often developing the work in their theses towards product.

Samuel Albanie

'Some Applications of Context to Convolutional Neural Networks'

"When I began the AIMS CDT (way back in 2014), I wasn’t sure what I wanted to work on.

During the first year of the course, I became interested in convolutional neural networks and had a lot of fun working with them throughout my PhD (bravely supervised by Professor Andrea Vedaldi). I am now working as a Postdoctoral Researcher here in the Department of Engineering Science on the same stuff, because it’s still a lot of fun."

Oliver Bartlett

MSc by Research: 'Teaching Robots where to Drive using Real World Data'

"I enjoyed my time as part of the AIMS CDT. The foundation year was useful as an introduction to the different areas where Artificial Intelligence is having an impact. Afterwards I joined Professor Ingmar Posner as part of the Oxford Robotics Institute (ORI), investigating off-road driving in novel environments.

"Having finished, I am staying on as part of the ORI, organising trials and projects."

Siddartha Ghoshal

'Algorithmic Decision Making in Financial Markets'

"The AIMS CDT is a superbly structured PhD program. Its students gain foundational training across a wide range of machine learning topics and, via its first year mini-projects, a smooth transition into the role of doctoral researcher.

"It provided me with the skillset and opportunity to pursue practical, interdisciplinary research at the nexus between AI and finance, an area I continue to explore in my full-time role designing systematic trading strategies for Shell."

Ankush Gupta

'Deep Learning with Synthetic, Temporal, and Adversarial Supervision'

"The AIMS CDT is an excellent PhD programme. It brings together students who work in different but related areas, which enriches their experience and broadens their knowledge. It provides a well-structured approach essential for the successful transition of students into graduate researchers. The courses and mini-research projects in the first year help in gaining an insight into the various sub-areas, and making an informed decision about doctoral research area/advisor.

"The generous financial support enables one to choose from some of the world’s best researchers at Oxford as their research advisor, without any prior commitment. Further, it provides for various expenses, like equipment and travel over the course of the programme. The various seminars, outreach activities, and training sessions support in rounded development. It is a unique programme which relieves the students of financial pressures and creates an ideal environment to enable valuable research. The CDT has gifted me the financial and intellectual freedom to pursue the research which I could not have done anywhere other than Oxford.

"Studying here also enabled me to further enhance my research skills as an intern at DeepMind London, which is also where I will work after completion. I am very grateful to the programme for supporting my doctoral study."

Jack Hunt

'Dynamic SLAM, Object Reconstruction, Shape and Pose Prediction for 3D Scene Understanding'

"I joined the AIMS CDT at Oxford in 2014, following my undergraduate degree in Computer Science. The broad remit of the training year allowed me to reinforce my decision to work in computer vision, whilst affording me an important appreciation for inter-disciplinary work. During my time at Oxford I have worked predominantly on 3D reconstruction and its various areas.

"As a result, I now work in Mixed Reality technology, an exciting area that draws directly on my experience at Oxford."

James Thewlis

'Objects from Motion'

"The AIMS CDT has given me the opportunity to learn a broad range of topics in the first year and then develop my ideas into a solid research project.

"My thesis, supervised by Professor Andrea Vedaldi in the Visual Geometry Group, deals with the problem of finding useful representations of objects, such as faces and cats, learning automatically from motion rather than using expensive manual annotations. I am very grateful for the support the AIMS CDT has given me throughout my studies, including funding that has allowed me to present my work at international conferences.

"My future plans include a project working with Facebook AI Research (FAIR), and I am also thinking about some startup ideas."

Update: "I’ve been building a startup through Entrepreneur First and it’s now been accepted for the “Launch” phase which means we get an initial £80k investment! We’re working on contextual video understanding to detect harmful content on online platforms, and my co-founder Sasha Haco is a mathematician from Cambridge."

Stefan Webb

Neural Networks for Inference, Inference for Neural Networks

"The AIMS CDT program has provided me with excellent opportunities with world-class professors and post-docs to learn how to do research in machine learning and publish at top venues. I have also had the chance to experience research in industry as an intern, and develop contacts for employment after graduation.

"My thesis, ‘Neural Networks for Inference, Inference for Neural Networks,’ was at the intersection of deep learning and Bayesian statistics, and was about the ways NNs can be used for amortized variational inference, and conversely how inference can be used to analyze discriminative NNs. After graduating, I am looking to continue working in this area in industry, developing applications and tools for deep Bayesian modeling.”

Update:  I have just acepted a ML research postition with Twitter Cortex, San Francisco.

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