Flinn Dolman
About
Detail
Co-founder -- Machine Learning
London, England, United Kingdom
Résumé
Jobs
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Co-founder & Head of AILawhiveOct 2020 - Current (5 years 9 months)Lawhive combines AI with a network of human lawyers to provide legal help for a fraction of the cost of a law firm. https://www.legalfutures.co.uk/latest-news/lawrence-the-ai-paralegal-passes-sqe-with-flying-colours- Chief Data ScientistStatysFeb 2019 - Feb 2020 (1 year 1 month)Statys was a credit scoring solution that used AI to compute credit scores for thin file credit applicants in emerging markets.
- Off-Cycle Intern - EDG ExoticsJP MorganJan 2019 - Dec 2019 (1 year)I interned on the EDG Exotics Trading desk. During this time I was tasked with applying and integrating Machine Learning into tooling used by the desk.
- Data ScientistAMPP GroupMay 2018 - Dec 2018 (8 months)I was responsible for leading on the company's ML & Data Science program.
- SBlockchain Developer (Part Time)SNATCH INCJan 2018 - Dec 2018 (1 year)Snatch was a venture backed Startup.
- Labs ExecutiveBlockTech Guild LondonOct 2017 - Oct 2018 (1 year 1 month)
- Co-founder -- Machine LearningComplexitiJul 2017 - Aug 2019 (2 years 2 months)I led on construction of WildfireAWARE's Machine Learning model which uses LightGBM. WildfireAWARE is a multi award winning web app capable of predicting with high accuracy the likelihood of wildfires occurring. For media coverage see: https://www.un.org/press/en/2018/pi2239.doc.htm https://news.microsoft.com/fi-fi/2018/09/04/mita-jos-metsapaloja-ei-enaa-syttyisikaan/ https://www.cs.york.ac.uk/news-events/news/2018/tackling-wildfires-with-data/ https://until.un.org/news/global-service-preventing-wildfires-wins-main-prize-world-challenge-2018-finals https://www.businessfinland.fi/en/whats-new/news/2018/global-service-for-preventing-wildfires-won-the-main-prize-at-the-uns-international-innovation-contest--in-espoo/
Education
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- Master's degree, Computational FinanceUCLJan 2017 - Dec 2018 (2 years)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.
- Bachelor of Science, MathematicsUniversity of YorkJan 2014 - Dec 2017 (4 years)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 (professional or personal)
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- WWildfire AWARE (Algorithmic Wildfire Analysis and Prediction)Jun 2017 - Current (9 years 1 month)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.
- WWildfire AWAREWildfire AWARE is an AI-based application for predicting wildfires. The project encompasses the belief that if you can predict wildfires, you can prevent them from happening in the first place. The application uses Big Data and Machine Learning the to predict the likelihood of a wildfire occurring in a given location. It uses the WebWorldWind globe to visualise this data for the end user. Achievements: -> UN World Challenge 2018 - 1st Prize (€2000) -> Microsoft Azure Challenge 2018 at the UN World Challenge - 1st Prize (£1200) -> NASA Europa Challenge 2017 - 4th Prize -> Research Councils UK Smart Cities Entrepreneurship Award (£2500) -> Presented at the ESA Earth Observation Φ-week in Rome, Italy in November 2018
- SSmart Contract based tenancy agreement verifierAn Ethereum Smart Contract based system that securely stores your tenancy agreements and handles deposit disputes using an Augur style dispute settling mechanism. The project came 2nd in the Royal Hackaway Major League Hacking hackathon. I was one of two members of the development team. Was the lead backend developer as well as one of the two ethereum smart contract developers. Alongside this, I hosted the application using AWS and wrote a Javascript interface that interacted with the smart contract on the testnet.
Awards
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- DBlockchaingers 2018 Global Digital Identity 2nd PlaceDutchChainApr 2018As 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.