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    "summary": "I'm a second-year PhD student at the Network Science Institute at Northeastern University, supervised by Prof. Alessandro Vespignani at the MOBS Lab. My research spans network science, infectious disease epidemiology, Bayesian inference, and computational social science, with a focus on decomposing human and social dynamics through data and mathematical models. Drawing on quantitative analysis and technical skills across multiple disciplines, I work to build models and softwares that improve people's lives and health.",
    "website": "https://minamiueda.com",
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      "note": "created: 2023-02-01, expires: 2026-01-31, Fingerprint: CA84 B8BC A5E4 4F26 38A8  D801 46CD C381 6A84 03D6"
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      "location": "Gunma, Japan",
      "studyType": "Elementary and secondary education",
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      "area": "Policy Management",
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      "area": "Public Health, Infectious Disease Epidemiology",
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        "title": "Excellent Graduation Project",
        "date": "September 2021",
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        "awarder": "Heiwa Nakajima Foundation"
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      "description": "Python suite for infectious disease modeling with Approximate Bayesian Computation."
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