I work as a research software engineer in the Drosophila Connectomics Group at the University of Cambridge. I'm interested in neuroscience and machine learning, particularly decision making (of humans, animals and machines). As a Software Sustainability Institute Fellow and Cambridge Data Champion, I advocate for open science, by promoting good coding practices and contributing to open source software.

Some projects I worked on include: brain computer-interfaces, psychophysics, brain functional connectivity, natural language processing, R Shiny packages and artificial neural networks.

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Research publications


Other writing



Non-exhaustive list of my public presentations.

Scientific conferences:

SfN 2022 (San Diego), PyConIT 2022 (Florence), Connectomics 2022 (Berlin), SBDM 2021 (Paris), MLPrague 2021 (online), MLinPL'20 (online), Neuromatch2 (online), SfN 2019 (Chicago), ITAI 2019 (Cardiff), HEALTAC 2019 (Cardiff), MEG UK 2019 (Cardiff), Science Polish Perspectives 2018 (Oxford), OHBM 2018 (Singapore), MEG UK 2018 (Londonderry/Derry), Brainstorm 2016 (Warsaw), Mind, Brain and Body Symposium 2016 (Berlin), Neuronus 2015 (Cracow), 4th Aspects of Neuroscience 2014 (Warsaw)


Code Review Workshop 2022 Big Data and High-Performance Computing 2018 & 2019 (invited talk), Shiny semantic workshop at SatRday Gdańsk 2019, 4th Baltic-Nordic Summer School on Neuroinformatics 2016


SatRday Amsterdam, PyData Cardiff, CaRdiff


I am/was active member of various coding communities, i.e. CaRdiff R Users, AI Wales and PyData Cardiff. Also, I was involved in: