Anastasia Sylaidi
Director at SPiKE.AI- Claim this Profile
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Greek 母語
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English 精通
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German 精通
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Bio
Experience
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SPiKE.AI
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United Kingdom
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Research Services
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1 - 100 Employee
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Director
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2016 年 4 月 - - 目前
AI innovation consulting platform operating as a science hub, comprising of computer and data specialists, engineers, neuroscientists and clinicians that capitalizes on interdisciplinary scientific thinking to address challenges at the interface of machine learning, big data and intelligent systems in a wide range of private and public services. Current and past portfolio includes product development and innovation strategy consulting in healthcare analytics, retailing, tourism, sports and insuretech.
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Dyson School of Design Engineering
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United Kingdom
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Higher Education
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1 - 100 Employee
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Visiting Lecturer
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2016 年 3 月 - - 目前
Biological and Computational Intelligence, Machine Learning, Neurotechnology, Human Machine Interfaces Biological and Computational Intelligence, Machine Learning, Neurotechnology, Human Machine Interfaces
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Imperial College London
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Research Services
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700 & Above Employee
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Research Fellow
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2017 年 11 月 - 2018 年 10 月
Time perception, Predictive Coding, Deep Learning, Machine Learning, Cognitive Psychophysics Time perception, Predictive Coding, Deep Learning, Machine Learning, Cognitive Psychophysics
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Imperial College London
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Research Services
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700 & Above Employee
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Postdoctoral Researcher
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2015 年 7 月 - 2016 年 1 月
Computational and Systems Neuroscience, Motor Neuroscience, Cognitive Neuroscience, Machine Learning and Computational Intelligence Computational and Systems Neuroscience, Motor Neuroscience, Cognitive Neuroscience, Machine Learning and Computational Intelligence
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Imperial College London
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Research Services
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700 & Above Employee
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PhD (Brain and Behavior Lab)
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2011 年 - 2015 年
Computational and Systems Neuroscience, Motor Neuroscience, Cognitive Neuroscience, Machine Learning and Computational Intelligence. Selected projects involve: (i) Motor control and learning: developing behavior-inspired learning, control, manipulation, motion planning models suitable for integration in contemporary Brain Machine Interfaces, Neuroprosthetic and Robotic Devices(ii) Neurotechnology and gaming: designing and building haptic interfaces and neurotechnological platforms for motor control studies (e.g. upper limb and whole body manipulations) with implications in diagnostics and candidate rehabilitation systems(iii) Neurobehavioral biomarkers for personalised medicine: employing machine learning tools to extract biomarkers of sensorimotor functions and pathological perturbations thereof in neurodegenerative diseases
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Teaching Assistant
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2011 年 - 2014 年
-Machine Learning and Neural Computation-Modelling in Biology-Computational Neuroscience-Signals and Systems-Computational Methods for Bioengineering
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Education
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Eidgenössische Technische Hochschule Zürich
Master of Science (MSc), Bioengineering and Biomedical Engineering -
Imperial College London
Doctor of Philosophy (PhD), Machine Learning and Computational Neuroscience -
National Technical University of Athens
Bachelor of Engineering (B.Eng.), Electrical and Computer Engineering