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Benjamin Wilson, Ph.D.

Benjamin Wilson, Ph.D.

Berlin, Germany
Member since August 27, 2016
Ben is a Ph.D. mathematician and computer scientist with exceptional practical skills and extensive experience with machine learning systems. He has worked extensively with large clients in real-time bidding, recommender systems, knowledge management, and NLP (from research to implementation of the system in production).
Benjamin is now available for hire
  • Linux, 6 years
  • SQL, 6 years
  • Python, 5 years
  • Sklearn, 5 years
  • Pandas, 4 years
  • Tornado, 3 years
  • AWS EC2, 3 years
  • Google Cloud Engine, 3 years
Berlin, Germany
Preferred Environment
Linux, Vim, Git
The most amazing...
...project I've worked on is the design and implementation of machine learning pipelines and APIs that serve millions of requests per day in production.
  • Instructor for Machine Learning in Python
    2016 - PRESENT
    • Designed a workshop-style course on unsupervised learning methods.
    • Created the course content, including videos and exercises.
    Technologies: Python, Scipy, Numpy, Sklearn
  • Co-Founder
    2013 - PRESENT
    Lateral GmbH
    • Implemented APIs using Python/Tornado.
    • Provided R&D in knowledge management using machine learning and NLP.
    • Optimized machine learning pipelines.
    • Evaluated statistical models.
    Technologies: Python, Tornado, Machine Learning, NLP
  • Machine-Learning Specialist
    2012 - 2013
    MBR Targeting
    • Created predictive modeling of prices in a real-time bidding marketplace using Python/Sklearn using data science and huge amounts of behavioral data to hunt down and block click bots.
    Technologies: Python, Jupyter, Sklearn, NLP
  • Data Scientist | Software Developer
    2012 - 2012
    • Analyzed client data.
    • Produced predictive models.
    • Provided business insight.
    Technologies: Python, Sklearn
  • Lateral GmbH (Development)

    I provided machine learning R&D for knowledge management and implemented the back-end APIs in Python/Tornado. In addition I created predictive models, parsed documents, and worked with NLP.

  • MBR Targeting (Development)

    As a machine-learning specialist for this product, I created predictive modeling of prices in a real-time bidding marketplace and tuning of a recommendation engine.

  • Building Babylon (R&D) (Other amazing things)

    A blog where I post my notes, thoughts and learnings on machine learning.

  • Controlled Experiments for Word Embeddings (R&D) (Other amazing things)

    A paper where we propose experimental methods for investigating to properties of word embeddings like word2vec and GloVe. Co-authored with Adriaan Schakel.

  • Berlin Machine Learning Seminar (R&D) (Other amazing things)

    I founded and continue to organize the Berlin ML seminar, which focuses on the mathematical foundations of machine learning.

  • Languages
    Python, JavaScript, SQL, HTML, Java, PHP
  • Frameworks
    Machine Learning
  • Libraries/APIs
    Pandas, Sklearn, NumPy, SciPy
  • Paradigms
    Object-oriented Programming (OOP), Data Science
  • Storage
    PostgreSQL, Relational Databases, AWS S3, AWS RDS, AWS DynamoDB
  • Other
    Statistical Modeling, Tornado, Numerical Methods
  • Tools
    Gensim, Git, Jupyter
  • Platforms
    Linux, Azure, AWS EC2, Google Cloud Engine, Amazon Web Services (AWS)
  • Ph.D. in Mathematics
    2004 - 2008
    University of Sydney/Universidade de São Paulo - Sydney/São Paulo
  • Honors (1st Class and University Medal) in Mathematics
    2003 - 2003
    University of Sydney - Sydney, Australia
  • Bachelor of Science (Advanced) in Computer Science and Mathematics
    2000 - 2002
    University of Sydney - Sydney, Australia
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