Szymon is a PhD student at The Bartlett Centre for Advanced Spatial Analysis (CASA) of University College London (UCL) and The Alan Turing Institute. Before joining the Institute, Szymon obtained a Bachelor of Science degree in Psychology with Neuroscience from the University of Westminster in London and a Master of Science degree in Big Data Science from Queen Mary University London.

Szymon has an extensive industry experience in the data science and applied Artificial Intelligence. He worked as a data analysis consultant before becoming a Data Curator at the UK Data Service – the European largest publicly-funded socio-economic data repository. For the last several years he has been consulting boards and decision makers of leading banking/finance institutions, governmental departments and research organisations around Europe in areas of data science workflows and best practices, Big Data, machine learning and artificial intelligence. Since 2014, he has conducted more than 120 statistical computing training courses in data science and predictive analytics with R, Python, Java and Scala programming languages.

Szymon is also an author of the “Big Data Analytics with R” book (Packt Publishing, 2016) which is currently used as a Big Data statistical programming course handbook at various universities in USA, Europe and Asia.

Research interests

Szymon’s doctoral research, under supervision of Dr Ed Manley (The Bartlett Centre for Advanced Spatial Analysis UCL) and Professor Hugo Spiers (UCL Institute of Behavioural Neuroscience), utilises advanced machine learning methods e.g. deep learning and reinforcement learning approaches, to diagnose early symptoms of dementia associated with human navigation and spatial cognition. His project aims to bridge the gap between applied Artificial Intelligence, Big Data, neuroscience and medical sciences.

Szymon’s research interests focus around applied Artificial Intelligence in complex, dynamic environments which often involve multi-dimensional Big Data e.g. geo-spatial, spatio-temporal and streaming, real-time data, and also linkage of complex datasets from a variety of sources. He is particularly interested in development, optimisation and practical implementations of novel AI algorithms in the fields of public health and medical sciences. Additionally, he is very passionate about the progress of neurotechnology and ethical concerns related to potential upgrades of human cognitive abilities (i.e. "singularity"). 

Due to the interdisciplinarity of Szymon’s research, he is also an active member of data science community working towards enhancement of data curation, processing and sharing standards.

Achievements and awards

Santander Master Scholarship - Queen Mary University London

Various young researchers' training scholarships and awards from: Max Planck Institute for Human Cognitive and Brain Sciences, International Neuroinformatics Coordinating Facility, Berlin Institute of Technology, Bernstein Focus: Neurotechnology Berlin, and Karolinska Institutet.