Expertise in Predicting Rare, High-Impact Events

I combine advanced statistical and data science techniques to build large probabilistic models, particularly for extreme events. My work involves creating innovative methodologies to address gaps in the literature and applying these techniques in practical, real-world scenarios. My goal is to collaborate on projects that demand innovation and to bring clarity to complex problems.

Statistics

Employ a broad range of methodologies, including probability theory, machine learning, extreme value theory, copula models, and uncertainty analysis to tackle unique challenges.

Computation

Maintain high standards of computational hygiene with defensive programming, version control, and data provenance for well-documented, reproducible codebases.

Project Management

Tailor model complexity to project needs, starting simple and adding layers only as necessary to achieve optimal solutions.

Communication

Engage in two-way transfer of knowledge with domain experts to align models with practical needs and communicate the results meaningfully.

github

Vincenzo’s github page

LinkedIn

GitHub stars
since 2016

OrcID

Discord community
for support

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Scholarly Publications

Articles in scientific journals, proceedings, and preprints.

Experience

  1. Senior Data Scientist

    BGC Engineering Inc.

    Responsibilities include:

    • Probabilistic modelling lead for advanced earth science applications.
    • Collaborate with Engineers and Geoscientists.
    • Produce robust and reproducible codebases using R, git, and friends.
  2. Assistant Professor of Teaching (Dept. of Statistics)

    The University of British Columbia

    Responsibilities include:

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  3. Lecturer (Dept. of Statistics)

    The University of British Columbia

    Responsibilities include:

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  4. Postdoctoral Teaching and Learning Fellow

    The University of British Columbia

    Responsibilities include:

    • Develop and deliver the new Master in Data Science program.
    • Teach content in an engaging and understandable way.
    • Manage teams of teaching assistants and student needs.

Education

  1. PhD Statistics

    The University of British Columbia
    Thesis on predicting extremes using copulas for dependence modelling. Supervised by Prof Harry Joe Smith and Prof Natalia Nolde.
    Read Thesis
  2. MSc Mathematical Statistics

    Brock University
  3. BSc Mathematics (Honours)

    Brock University
  4. BSc Biology (3-year)

    Brock University
Need an innovative solution?

Need an innovative solution?

I am always interested in hearing about a need for innovative solutions. Reach out on LinkedIn.

  • Multivariate extremes
  • Risk-informed decision making
  • Mutliple application areas
Get Started
For applications in the applied earth sciences

For applications in the applied earth sciences

I work on applications such as hydrology, climate science, and geohazards with BGC Engineering. Reach out to me there.

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