Flinn Dolman

Flinn Dolman

London, England, United Kingdom
2K followers 500+ connections

About

Working to ensure that everyone on earth can access their legal rights.

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Activity

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Experience

  • Lawhive Graphic
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    London, United Kingdom

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    London, United Kingdom

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    London, United Kingdom

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Education

  • UCL Graphic

    UCL

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    Modules: Supervised Learning, Advanced Deep Learning and Reinforcement Learning, Machine Learning with Applications in Finance, Financial Data and Statistics, Numerical Analysis for Finance, Financial Engineering, Financial Market Modelling and Analysis, Market Risk Measures and Portfolio Theory.

    Dissertation Topic: Credit Analysis using Decision trees and Bayesian Network Modelling.

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    Activities and Societies: Non Drinkers Society-President

    1st year modules: Introduction to Applied Mathematics, Core Algebra, Introduction to Probability and Statistics, Calculus, Real Analysis.

    2nd year modules: Statistics I, Differential Equations, Introduction to Group Theory, Programming and Scientific Computing, Complex Analysis and Integral Transforms, Vector Calculus, Groups, Fields and Rings, Linear Algebra.

    3rd year modules: Multi-Agent Interactions & Games, C++ with Applications in Finance, Mathematical Finance I…

    1st year modules: Introduction to Applied Mathematics, Core Algebra, Introduction to Probability and Statistics, Calculus, Real Analysis.

    2nd year modules: Statistics I, Differential Equations, Introduction to Group Theory, Programming and Scientific Computing, Complex Analysis and Integral Transforms, Vector Calculus, Groups, Fields and Rings, Linear Algebra.

    3rd year modules: Multi-Agent Interactions & Games, C++ with Applications in Finance, Mathematical Finance I, Cryptography, Galois Theory, Formal Languages and Automata, Character Theory.

    Dissertation Topic: Cryptocurrencies and their basis in abstract algebra.

Projects

  • Wildfire AWARE (Algorithmic Wildfire Analysis and Prediction)

    - Present

    A wildfire predictor with WebWorldWind as a front facing UI. It can currently predict wildfires with a 74.8% accuracy using machine learning. Team members include Flinn Dolman, Vishal Soomaney and Peter Jupp. Achievements as part of this project so far include:

    -All expenses paid trip to Helsinki, Finland as part of the NASA Europa Challenge to present our project at the Nokia executive experience center.
    - 1st Place (£2500) in the Smart Cities (SMARTIES) entrepreneurship award…

    A wildfire predictor with WebWorldWind as a front facing UI. It can currently predict wildfires with a 74.8% accuracy using machine learning. Team members include Flinn Dolman, Vishal Soomaney and Peter Jupp. Achievements as part of this project so far include:

    -All expenses paid trip to Helsinki, Finland as part of the NASA Europa Challenge to present our project at the Nokia executive experience center.
    - 1st Place (£2500) in the Smart Cities (SMARTIES) entrepreneurship award competition funded by Research Councils UK.
    -Official endorsement from Green Peace Russia.
    -£300 funding from the University of York.

    Other creators
    See project

Honors & Awards

  • Blockchaingers 2018 Global Digital Identity 2nd Place

    DutchChain

    As part of the company Veridenkey, myself and 7 others came 2nd at the Blockchaingers 2018 hackathon. Our entry category was Blockchain based Global Digital Identity.

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