Summary

PhD candidate in Computer Science (Sorbonne University & Université Paris Cité) researching large-scale optimisation, human-mobility analytics and geospatial AI; teaching C/C++/Java and deep reinforcement learning.

Education

• Ph.D. in Computer Science

  2025-09
  Sorbonne University & Université Paris Cité
• Visiting Scholar (4EU+)

  2025-10
  Heidelberg University
• MicroMaster’s in Statistics & Data Science

  2022-10
  Massachusetts Institute of Technology
• M.Eng. in Electrical & Computer Science (GPA 17.83/20)

  2021-07
  Sorbonne University – Polytech Sorbonne
• B.Sc. (Year 2) in Electrical & Computer Engineering

  2018-07
  University of Poitiers

Work Experience

• PhD Researcher / Teaching Associate

  2022-10 -
  LIPADE, Université Paris Cité & Institut Polytechnique de Paris

  Deep-learning models (GNN, RL) for human-mobility prediction, EV-charging optimisation and spatio-temporal analytics; teach Algorithms (C, Java) and Deep RL.

  • Fusion of spatial data, network optimisation and energy-efficient transport planning
  • Course support at ENSTA Paris (IN101) & ESIEE Paris (Deep RL)
• Technical Illustrator & Communication Ambassador (part-time)

  2024-11 -
  CAMEL-AI.org

  Create technical illustrations and outreach content to democratise responsible AI.
• Research Engineer – Spatio-Temporal Data Analysis

  2022-05 - 2022-10
  Telecom SudParis, Institut Polytechnique de Paris

  Designed grid-based frameworks and ML pipelines for large-scale mobile-phone data.
• Research Engineer

  2018-09 - 2021-08
  Group Renault, Alliance Engineering Dept. (DEA-TDV)

  Optimised ADAS reliability with ML-driven scenario prioritisation; built VBA/Python dashboards to monitor real-time vehicle sensor performance.
• Co-Founder & CTO (part-time)

  2021-10 - 2022-05
  TASFAIM (start-up)

  Applied geospatial analytics to identify high-demand areas and guide scalable infrastructure deployment.
• Engineering Intern

  2018-04 - 2018-07
  Schneider Electric

  Designed fingerprint-authentication module for industrial control terminals.

Skills

Publications

• Large-Scale Optimisation of Electric-Vehicle Charging Infrastructure

  2024
  Proc. ACM SIGSPATIAL

  Best Paper Award; oral presentation at SIGSPATIAL 2024.

  View Publication
• Assessing the Usefulness of Digital Contact Tracing Using Real-World Contact Data
  Nature Human Behaviour (under review)

  View Publication
• Fine-Grained Urban-Grid Clustering of Mobile-Phone Metadata with Deep Spatio-Temporal Clustering
  IEEE IJCNN 2025 (accepted)

  View Publication

Presentations

• Large-Scale Optimisation of EV Charging Infrastructure

  2024
  ACM SIGSPATIAL 2024

  Atlanta, GA, USA

  Oral presentation, Best Paper Award.

Teaching

• Algorithms (C)

  2023
  ENSTA Paris, IN101

  Role: Teaching Associate
• Deep Reinforcement Learning

  2024
  ESIEE Paris

  Role: Lecturer

Languages

• Chinese

  native
• French

  fluent
• English

  TOEIC 855
• Japanese

  basic

Interests

• Ultra-trail running
• Marathon
• Swimming
• Cycling
• Photography