Loek Janssen

Loek Janssen

Lisboa, Lisboa, Portugal
8 mil seguidores + de 500 conexões

Sobre

Tech & data nerd, but with affinity for global identity, migration, and…

Atividades

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Experiência

  • Gráfico Tytle

    Tytle

    Lisbon, Portugal

  • -

    Amsterdam, North Holland, Netherlands

  • -

    Amsterdam, North Holland, Netherlands

  • -

    Amsterdam Area, Netherlands

  • -

    San Francisco Bay Area

  • -

    Stanford, CA

  • -

    Greater Boston Area

  • -

    Amsterdam

Formação acadêmica

  • Harrison Metal - General Management

    -

  • -

    Atividades e grupos:Accelerator

  • C++/Python, Databases, Algorithms, Optimization, Stochastics, Statistics, Machine Learning, Artificial Intelligence, Differential Equations, (Parallel) Programming, Hidden Markov Models, Filtering Problems.

Experiência de voluntariado

  • Gráfico Consulate General of the Netherlands in San Francisco

    Committee Member

    Consulate General of the Netherlands in San Francisco

    - o momento 5 anos 6 meses

    Ciência e tecnologia

    As a member of the Holland in the Valley Entrepreneurship Committee we facilitate the expansion to the US for qualified Dutch startups.

  • Gráfico DutchTechSF

    Ambassador

    DutchTechSF

    - o momento 6 anos 5 meses

    Ciência e tecnologia

    Facilitate connections and speaking at events to help Dutch founders and investors bridge the gap to Silicon Valley.

  • Gráfico Gewoonmensen.nl

    Gewoon mens

    Gewoonmensen.nl

    - o momento 4 anos 9 meses

    Resposta a desastres e assistência humanitária

    Building the tech of gewoonmensen.nl to ensure everyone who needs help gets it in these dark times of the corona virus.
    We're all volunteers!

Cursos

  • Advanced C++ STL

    CS 106L

  • Advanced Econometrics

    EC312

  • Advanced Programming C++

    CME 212

  • Computer Analysis & Visualisation

    CITS2401

  • Convex Optimization

    CME 364A

  • Database System Principles

    CS 245

  • Design and Analysis of Algorithms

    CS 161

  • Econometrics II

    E_EOR3_TR2

  • Elements of Statistical Learning

    STATS 315B

  • Financial Modeling

    STATS 241

  • Machine Learning

    CS 229

  • Mathematical Methods II

    MATH1001

  • Numerical Linear Algebra

    CME 302

  • Numerical Programming II

    E_EOR2_NUMP2

  • Ordinary Differential Equations II

    X_400026

  • Partial Differential Equations

    CME 303

  • Probabilistic Graphical Models

    CS 228

  • Problem Solving & Programming

    CITS1401

  • Stochastic Methods in Engineering

    CME 308

Projetos

  • Fluid

    - o momento

    API for continuous site optimization with instant delivery through a powerful AI engine.

    A service for small to medium website owners (bloggers, news-sites, ...) looking for optimal engagement per customer archetype. Our API takes third-party customer data and blends it with proprietary gathered data to update our AI engine in an online fashion, and spits out the optimal content-combination for a new user that visits your site in real-time.
    A one-line tag of JavaScript dropped into…

    API for continuous site optimization with instant delivery through a powerful AI engine.

    A service for small to medium website owners (bloggers, news-sites, ...) looking for optimal engagement per customer archetype. Our API takes third-party customer data and blends it with proprietary gathered data to update our AI engine in an online fashion, and spits out the optimal content-combination for a new user that visits your site in real-time.
    A one-line tag of JavaScript dropped into the DOM with features set in the Fluid-dashboard is all that it takes. AI methods implemented: CART models, ensemble methods (gradient boosting trees), linear regression and the utterly simplistic naive bayes.

    Stack: Node.js / Express.js + MongoDB and Redis, Python SciKitLearn

    Outros criadores
  • Real-Time Dense Map Matching with Naive Hidden Markov Models: Delay versus Accuracy

    - o momento

    An algorithm for map matching is proposed, based on a Viterbi algorithm running over a Hidden Markov Model. The algorithm performs similarly to other existing algorithms for map matching, but forgoes the use of memory-intensive shortest path algorithms.

    Outros criadores
    Ver projeto
  • Heatmap-based Multiheuristic AI of Othello game

    Implemented Mini-Max Artificial Intelligence algorithm with Alpha-Beta pruning with heat-map heuristics for the board game Othello (a.k.a. Reversi and Go). Mainly used Python routines.

  • Dynamic second moment filtering in conditional distribution estimation

    -

    TBD

Reconhecimentos e prêmios

  • Forbes 30 under 30

    Forbes

    F30U30 in category finance
    https://www.forbes.com/30-under-30/2019/finance/#5b7f288b7e80

  • Graduate Degree Honours Scholarship

    VU University Amsterdam

    Got awarded limited availability scholarship for students pursuing graduate education at top-level, based on grades and motivation.

  • Best Student Awards

    VU University Amsterdam

    Out of 4500 students. Based on grades, workload, and motivation. Awarded scholarship.

  • 2nd place Econometric Forecasting Challenge

    Vrije Universiteit Amsterdam

    A competition dedicated to forecasting of economic and financial data. Model design, time-series dynamics, stationarity, structural breaks, outliers, data contamination, etc... applied to out-of-sample forecasting.
    http://efvu-challenge.com/drupal/?q=node/1

Idiomas

  • Dutch

    Nível nativo ou bilíngue

  • English

    Nível nativo ou bilíngue

  • French

    Nível básico

  • German

    Nível básico a intermediário

  • Portuguese

    Nível avançado

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