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Postdoctoral Research Fellow
Talfan Evans
,
London, United Kingdom
Experience
Other titles
Skills
I'm offering
I have an Engineering Masters from Oxford, then switched to a Cognitive Science / AI PhD at University College London. I'm currently working as a Research Fellow at the Dyson Robotics Lab, Imperial College London.
I'm working on integrating probabilistic machine learning methods with modern deep learning, applied mainly in the context of autonomous navigation and scene perception.
I've worked on a broad range of projects, in both academic and industrial settings, including (but not limited to) spatial mapping, machine vision, systems biology and time-series modelling.
I'm working on integrating probabilistic machine learning methods with modern deep learning, applied mainly in the context of autonomous navigation and scene perception.
I've worked on a broad range of projects, in both academic and industrial settings, including (but not limited to) spatial mapping, machine vision, systems biology and time-series modelling.
Markets
United Kingdom
Links for more
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Language
English
Fluently
Ready for
Ongoing relation / part-time
Available
My experience
? - ?
job
Dyson Fellow
Dyson Robotics Lab, Imperial College London/MIT.
• Improving object/scene understanding in autonomous vehicles.
• Resource constrained processing for real-time operation.
• Efficient memory management in next-generation computing architectures.
• Resource constrained processing for real-time operation.
• Efficient memory management in next-generation computing architectures.
Management, Processing
2018 - 2020
job
Postdoctoral Research Fellow
Space and Memory Laboratory.
Understanding spatial perception in humans using probabilistic machine models.
Research
2017 - 2018
freelance
Consultant Research Scientist
Limbic AI.
Affective computing startup developing technology for inferring the emotional states
of users from wearable devices data.
• Developed early prototypes of core technology as sole engineer/R&D scientist, in-
volving time-series prediction from physiological data.
of users from wearable devices data.
• Developed early prototypes of core technology as sole engineer/R&D scientist, in-
volving time-series prediction from physiological data.
Research, R, Technology
My education
2014
-
2018
UCL
Doctorate, Cognitive and Computational Neuroscience
Doctorate, Cognitive and Computational Neuroscience
2013
-
2014
UCL
MRes, Modelling Biological Complexity
MRes, Modelling Biological Complexity
2009
-
2013
University of Oxford
MEng, Engineering Science
MEng, Engineering Science
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