CV

Education

Ph.D. in Computer Science, Sorbonne Université & Université Paris Cité (2022–2025)
Full doctoral scholarship; Thesis: “Proactive Mobility, Naming and Caching in Next-Generation Mobile Services.”
Visiting Scholar, Heidelberg University, Germany (2025)
4EU+ Research on STGNN & Physics-Informed Models for Epidemic Spread
MicroMaster, MIT – Statistics and Data Science (2021–2022)
M.Eng. in Electrical & Computer Science, Sorbonne Université – GPA 17.83/20, Rank 2/48 (2018–2021)
B.Sc. in Electrical & Computer Engineering, University of Poitiers – Rank 8/120 (2016–2018)

Work experience

Ph.D. Researcher, LIPADE & Institut Polytechnique de Paris (2022–Present)
Research on mobility data, geospatial optimization & GNNs; Teaching C, Java, Deep RL
Technical Illustrator, CAMEL-AI.org (2024–Present, Remote)
Created visual explainers & diagrams for AI outreach
Research Engineer, Telecom SudParis (2022)
Grid-based spatial ML for mobile-phone metadata
Research Engineer, Renault Group (2018–2021)
Optimized ADAS reliability, built performance dashboards
Co-Founder & CTO, TASFAIM (2021–2022)
Geospatial infrastructure deployment strategy
Engineering Intern, Schneider Electric (2018)
Biometric module design for industrial terminals

Skills

Programming: Python, C/C++, Java, R, Scala, SQL, MATLAB, JavaScript, PHP, VHDL, VBA
ML & Data: PyTorch, TensorFlow, Spark, GNNs, RL, Geospatial Science, Data Fusion
Tools: QGIS, CARLA, SCANeR, VISIM, LaTeX, Git, Office, MQTT, RTOS
Languages: Chinese (native), French (fluent), English (TOEIC 855), Japanese (basic)

Publications

Enhancing Spatio-Temporal Forecasting with Spatial Neighbourhood Fusion: COVID-19 Mobility in Peru

Li C. *et al.* Enhancing Spatio-Temporal Forecasting with Spatial Neighbourhood Fusion. IEEE GLOBECOM 2025 (under review).

DOVA-PATBM: An Adaptive & Scalable Framework for Optimising Large-Scale EV-Charging Infrastructure

Li C. *et al.* DOVA-PATBM: Adaptive, Scalable EV-Charging Optimisation. Proc. ACM SIGSPATIAL 2025 (under review).

Semi-Automatic Connection Recovery of 3D Tubular Structure Skeletons via MST and Filtered Delaunay

Yang R., Li C. Semi-Automatic Connection Recovery via MST & Filtered Delaunay Triangulation. IEEE BIBM 2025 (under review).

An Applied ML Pipeline for Geospatial Groundwater-Level Classification Supporting Early Warning & Resource Planning

Li C., Yang R. An Applied ML Pipeline for Geospatial Groundwater-Level Classification. ICML 2025 (NewInML).

Fine-Grained Urban-Grid Clustering of Mobile-Phone Metadata with Deep Spatio-Temporal Clustering

Hu Z., Li C., Gauthier V., Moungla H. Fine-Grained Urban-Grid Clustering with Deep ST-Clustering. IEEE IJCNN 2025.

Fusing Multi-Agent Systems for Real-Time Groundwater Early Warning

Li C. *et al.* Fusing Multi-Agent Systems for Real-Time Groundwater Early Warning. AAAI 2025 (in preparation).

TDLG at Scale: Modeling Co-Location Events from Large-Scale Human Mobility Data

Li C. *et al.* TDLG at Scale: Modeling Co-Location Events from Large-Scale Human Mobility Data. NetMob 2025 (under review).

On the Utility of Digital Contact Tracing on Empirical Contact Network

Li C. *et al.* On the Utility of Digital Contact Tracing on Empirical Contact Network. NetMob 2025 (under review).

Nation-Scale Risk Mapping from Human Mobility Data Using Time-Decayed Line Graphs

Li C. *et al.* Nation-Scale Risk Mapping from Human Mobility Data Using Time-Decayed Line Graphs. AAAI 2025 (in preparation).

Distribution Shift for Spatio-Temporal Networks

Hu Z., Li C., Naima M., Gauthier V. Distribution Shift for Spatio-Temporal Networks. AAAI 2025 (in preparation).

Assessing the Usefulness of Digital Contact Tracing Using Real-World Contact Data

Li C. *et al.* Assessing the Usefulness of Digital Contact Tracing Using Real-World Contact Data. *Nat. Hum. Behav.* (under review).

Large-Scale Optimisation of Electric-Vehicle Charging Infrastructure

Chuan Li, Shunyu Zhao, Vincent Gauthier, Hassine Moungla. "Large-Scale Optimisation of Electric-Vehicle Charging Infrastructure", ACM SIGSPATIAL 2024.