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UX. Data. XR. So much of what the digital and tech industries do is fuelled by human understanding. Only by understanding more can we design better systems and create better products.
The Human Behaviour Council explores the latest research methods, bringing them to life for the benefit of BIMA members.
I’ve enjoyed a wildly diverse career, from entrepreneurial adventures, business leadership and executive coaching to neuro-linguistic programming, hypnosis and neuromarketing. The thread that joins these dots is a deep fascination with the human condition and a disruptive approach to change.
I’m looking for interesting speaking opportunities to spread some positive, helpful and counter-intuitive ideas.
As a Director of Human Technology at LAB it’s my job to make sure we use our digital superpowers to the benefit of the human beings we affect. In an age of rapid and uncertain change, I help you to embrace the delicious, complex, human chaos and provide a ‘nudge’.
In my mental fitness practice I help people with anxiety, depression, fear, anger, stress, phobia and physical pain to liberate themselves.
Dimitris Pinotsis, Associate Professor (Senior Lecturer) University of London-City & Research Affiliate at MIT pinotsislab.com
Dr Dimitris Pinotsis is a Associate Professor (Senior Lecturer) at the Centre for Mathematical Neuroscience and Psychology and the Department of Psychology at City, University of London. He is also a Research Affiliate at the Picower Institute for Learning and Memory and the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology (MIT). Previously, he was a Senior Research Fellow at UCL’s Wellcome Trust Center for Neuroimaging and a Senior Scientist at MIT.
Dimitris holds a PhD and an MSc in Mathematics from the Department of Applied Mathematics and Theoretical Physics (DAMTP) of the University of Cambridge, UK. His research has been funded by the US Air Force Office of Scientific Research, UK Research Councils (EPSRC) and the Wellcome Trust. It spans diverse areas including machine learning, the analysis of big data in neuroimaging, theoretical neurobiology and nonlinear systems in mathematical physics.