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ekinugurel/README.md
  • 👋 Hi, I’m Ekin Ugurel.
  • 👀 I’m interested in mobile sensor data for human mobility modeling.
  • 🌱 I’m currently learning about Gaussian Processes, kernel methods, and statistical modeling of spatiotemporal data.
  • 💞️ Looking to collaborate? Reach out!
  • 📫 You can email me at ugurel [at] uw [dot] edu

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  1. SafeGraph_Mobility_Workshop SafeGraph_Mobility_Workshop Public

    Codes for NYCDOT's DEV Working Group on February 6th, 2026

    Jupyter Notebook 2

  2. physics-regularized-MTGP physics-regularized-MTGP Public

    Includes codes for, "Learning to generate synthetic human mobility data: A physics-regularized Gaussian process approach based on multiple kernel learning"

    Jupyter Notebook 2

  3. GPSImpute GPSImpute Public

    Includes codes for "Correcting Missingness in Passively-Generated Mobile Data with Multi-task Gaussian Processes"

    Jupyter Notebook 3

  4. SatMobFusion SatMobFusion Public

    A novel real-time event-identification framework fusing satellite imagery with mobile sensor data

    Jupyter Notebook 5

  5. GeoAdVisor GeoAdVisor Public

    INRIX HackWeek!

    Jupyter Notebook 4

  6. DSSG24-CF-Fairness/crowdflow-fairness DSSG24-CF-Fairness/crowdflow-fairness Public

    Python 5 1