Dimitris Pinotsis, PhD
Dimitris is a theoretical neuroscientist with a PhD in Mathematics and an MSc in Theoretical Physics from the University of Cambridge in England where he worked with Thanasis Fokas. After graduating, he published more than fifteen papers in mathematics and physics journals and then decided to pursue a career in neuroscience, his true passion. Dimitris spent six and a half years at University College London (UCL) working with Karl Friston in machine learning and developing mathematical methods for the analysis of brain data; then continued at the Massachusetts Institute of Technology (MIT), where he worked with Earl Miller on using predictive coding and deep neural networks to address fundamental questions in cognitive neuroscience. In 2018, he joined the Center for Mathematical Neuroscience and Psychology at City—University of London as an Assistant Professor (Lecturer). He is now an Associate Professor (Senior Lecturer) at the same university and a Research Affiliate at MIT's Brain and Cognitive Sciences Department.
Anna has a Bachelor's degree in Mathematics from the University of Leeds. After graduating, she spent five years working as a geophysicist in London. Anna is now a student at City—University of London, pursuing a Master’s degree in Data Science. She is passionate about AI use in healthcare, particularly in medical diagnostics. Anna is currently working on a computational study of major depressive disorder biomarkers.
Corina started as developer in Java after getting her degree in Computer Science. She shortly transitioned into python, doing a couple of years of commercial development that got her thinking and trying to answer bigger questions. This led her to pursue an MSc in Data Science at City—University of London. Corina is passionate about the hidden behavioral patterns that we all posses even when we are not conscious of them. She is also fascinated by what is our brain capable of achieving through learning and plasticity.
Jan-Philipp is interested in developing computational models to understand how humans learn and adapt to changes in the environment. He currently pursues these questions by investigating effective connectivity in resting-state fMRI data of rats using spectral DCM. More generally, Jan-Philipp seeks inspiration from behavioral research and neuroscience. In the past, he has worked on false memories and investigated how social feedback and fake video recordings can undermine people’s’ beliefs in the occurrence of autobiographical events (paper here).
Cheryl is a student in MSc Data Science, analysing datasets of patients with major depressive disorder. She is interested in the influence behavioural psychology and cognitive neuroscience have on reinforcement learning and machine learning. Cheryl is also curious about how ideas from machine learning can be used to advance computational neuroscience. When not at a keyboard, she can be found either making sub-par pottery or walking her dog.
Eirini is working on understanding brain-body interactions with EEG (more details soon...)