Ivann Schlosser

Data scientist, researcher, specialised in geospatial modelling / data engineering / visualisation.


Bio

Originally from France

Lived in France, Russia, Switzerland, UK

Educated in the UK and Switzerland

Currently based in Oxford, UK.

Education

BSc in Physics '19' from epfl_logo

MSc in Smart Cities and Urban Analytics '21 from ucl_logo at casa_logo.

Skills

Currently

Developping geospatial analytics, software and models of economic activity across the globe for infrastructure resilience and mitigation of climate change risks.

Research

Active travel commuting in London

Research on networks, routing and models for active travel commuting in London

Active travel network of Great Britain

Building distance matrices for active travel journeys across Great Britain.

Publications

Active travel modelling: a methodological approach to walking and cycling networks for commuting analysis

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How liveable are London's 15-minute neighbourhoods? Exploring liveability profiles and active travel patterns in London

arXiv

Software

cppSim: Large scale commuter flows model

This is a mini package for spatial interaction models. With a c++ core, it is very fast and memory efficient.

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Btoolkit

A package containing supplementary helper functions.

scalenav

A python package to bring together the capabilities of DuckDB and it's spatial and h3 extensions in a user firendly python wrapper using the ibis famework. Developped and applied for my work on global geospatial analytics and spatial economic activity modelling.

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cppRosm

A crazy fast package in R wrapping the osmium library. With a minimalistic and very efficient set of functions it covers the extraction process of OSM data from raw extracts.

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Selected Courseworks

Visualizing cultural data sets on the web

An interactive web app to navigate the MOMA collection through time, geography, colors and more

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Waste management in England

A study on waste flows across England and the circular economy aspects of that industry.

Msc dissertation: Deconstructing neighbourhoods

Developing methods to understand the city on a local, neighborhood scale from mobility patterns and distribution of amenities.

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News

17/04/2026

GISRUK 2026

It was a great experience visiting Birmingham to attend the GISRUK 2026 conference for the first time. I presented our work on high resolution economic activity downscaling models. The conference has been published here and we have pre released some output data on Zenodo.

02/09/2024

Conference !

We showed our work on investigating neighbourhood clusters in cities through the formalism of complex systems at the CCS2024 in Exeter. I could not make it there physically, but my colleague Phil did a great job presenting in front in the main auditorium.

10/06/2024

I started a new job at the University of Oxford. Joining the OPSIS group within the Environmental Change Institute at the School of Geography. My main work will focus on analytical methods to localise economic activity across the world, from regional and country scale, down to the building level.

07/09/2023

I presented at the FOSS4G:UK conference earlier in September talking about our research on active travel commuting and the open source software we used and developped.

06/09/2023

We published a paper on open source methods for large scale spatial interaction models applied to active travel. Have a look if you are interested in manipulating large scale road networks, and building predictive models of commuter flows: arXiv.

Blog

Find some posts on topics related to geospatial analysis, data science, cities, geography, R and python programming, visualisation and more. Have a look here!

Contact

This website's source code.

Year 2026