About Me

I am a postdoctoral researcher at Microsoft Research New England. I recently completed my PhD at the University of Warwick and New York University, supervised by Stephen Jarvis (U Birmingham), Daniel Neill (NYU) and Hongkai Wen (U Warwick / Samsung AI). I was also an Enrichment student at the Alan Turing Institute and a Beyond Fellow at TUM / DLR. My research focuses on the representation of spatial phenomena in machine learning methods. Beyond that, I am interested in the application of these methods in urban environments and to tackle climate change. I hold a Bachelors degree in Economics from the University of Freiburg (Germany) and a Masters in Transportation from Imperial College and University College London.


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27/01/2023: I recently gave talks at Harvard, USC, TU Berlin and the National Renewable Energy Laboratory (NREL).

20/01/2023: One paper accepted at AISTATS 2023.

20/12/2022: I will be co-organizing the Tackling Climate Change with Machine Learning Workshop at ICLR 2023. Check the website for our Call for Submissions and further information.

24/10/2022: One paper accepted to the Tackling Climate Change with Machine Learning Workshop at NeurIPS 2022.

07/07/2022: I will join Microsoft Research New England as a postdoc in fall!

14/06/2022: New preprint out on GANs for geospatial point patterns.

01/12/2021: Two papers [1, 2] accepted at AAAI 2022.

17/09/2021: Our paper "Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search" has been accepted at IEEE Transactions on Intelligent Transportation Systems.

15/08/2021: One paper accepted to SIGSPATIAL 2021.

14/07/2021: We have a workshop paper on estimating forest carbon using deep learning accepted at the "Tackling Climate Change with Machine Learning" workshop at ICML, lead by brilliant Master's student Gyri Reiersen. You can access the paper here.

30/06/2021: I'll be giving a talk at the AI4EO seminar series recapping my time & research at the lab on July 2nd. More info and sign-up here.

03/05/2021: New (short) paper out on generative modeling of extreme weather patterns using conditional GANs, accepted at the AIMOCC workshop at ICLR 2021. This is joint work with Sudipan Saha, Matthias Kahl, Xiao Xiang Zhu (TUM) and Tianlin Xu (LSE). You can access the paper here.

10/02/2021: Our new paper on spatial patterns in rape reporting delays is out in Royal Society Open Science. This is joint work with Daniel Neill (NYU) and Stephen Jarvis (U Birmingham). You can access the paper here.

29/10/2020: I have two talks coming up in November! On November 4th I will present my work on geographically-aware machine learning at the AI4EO lab (see here for more). On November 12th will represent Climate Change AI at The Algo 2020 conference. You can register for a (free) ticket here.

30/09/2020: I have been awarded a Beyond Fellowship to join the AI4EO lab at Technical University of Munich and DLR. I will be based at the lab between November 2020 and April 2021.

20/08/2020: I have joined Climate Change AI as a core team member. CCAI's goal is to build a community of researchers and practitioners passionate about using machine learning to tackle climate change.

20/08/2020: I will be co-organizing the Machine Learning for the Developing World (ML4D) workshop at NeurIPS 2020. The workshop website and the call for papers can (soon) be found here.

30/06/2020: We have a new preprint on geospatial machine learning out on arXiv: "SXL: Spatially explicit learning of geographic processes with auxiliary tasks". The paper is available here, the code including interactive notebook examples can be found here.

24/04/2020: I will give a short talk at the "Energy Day" of the ICLR 2020 workshop Climate Change AI on April 27. I will discuss how ML can help to drive the sustainable urban mobility revolution and what methodological innovation is still needed. Check the full schedule here.

19/03/2020: Our paper "D3P: Data-Driven Demand Prediction for Fast Expanding Electric Vehicle Sharing Systems" has been published in ACM IMWUT, see here. This is joint work with collaborators from my department at the University of Warwick.

24/02/2020: Our paper "Population Mapping in Informal Settlements with High-Resolution Satellite Imagery and Equitable Ground-Truth" has been accepted to the ML-IRL workshop at ICLR'20. This is joint work with Google AI in Ghana. The paper will be made available soon.

09/02/2020: I am sering as a member of the programme committee for the ICLR 2020 workshop "Tackling Climate Change with Machine Learning". For more information, see here.

10/01/2020: I will be giving a talk on geospatial ML at the University of Zurich's "Machine Learning for Social & Environmental Problems" (ML4SEP) seminar series. For more information, see here.

06/01/2020: Only three weeks left until AMLD 2020! Check out the website of our "AI & Cities" track here to get a glance at our speaker lineup.

30/10/2019: Check out the new website of the Machine Learning for Good (ML4G) lab at NYU here.

16/10/2019: I am again co-organising the AMLD2020 track on "AI & Cities". We currently have a call for presentations / posters open. If you are interested in presenting your work in Lausanne in January, see here for more info.

15/08/2019: I will be on the Programme Committee of the NeurIPS 2019 workshop on Machine Learning for the Developing World (ML4D). If you consider submitting a paper, you can find details and the CfP here.

04/07/2019: I will join the newly formed Machine Learning for Good (ML4G) lab at New York University for the academic year 2019 /2020 to work on spatial machine learning with Daniel Neill.

26/03/2019: I will present my work on (spatial) urban analytics at the Alan Turing Institute workshop "A blueprint for urban analytics research" on the 11th of April in Newcastle. For more, see here.

26/01/2019: I am at AMLD2019 in Lausanne this week where I co-organise the track on "AI & Cities". For more, see here.

20/12/2018: A new paper (together with Tobias Brandt and Stephen Jarvis) has been published in PLOS ONE.

Get In Touch

Interested in my research, potential collaborations or any other engagements? I look forward to hearing from you!