Speaker: Dana Sheahen

Robotics @Udacity

Dana currently works as a Curriculum Lead for Udacity leading their Robotics Nanodegree program content development in Mountain View, California. As a BSEE with an emphasis in software, she previously worked in a number of industry areas including automotive systems, medical instrumentation, and environmental data analysis. More recently, Dana obtained her Master’s in Computer Science from Georgia Tech with a specialty in Interactive Intelligence, and has focused on AI projects and AI education ever since.

Find Dana Sheahen at

Proposed Tracks

  • Real-World Data Engineering

    Showcasing DataEng tech and highlighting the strengths of each in real-world applications.

  • Deep Learning Applications & Practices

    Deep learning lessons using Tensorflow, Keras, PyTorch, Caffe across machine translation, computer vision.

  • AI Meets the Physical World

    The track where AI touches the physical world, think drones, ROS, NVidea, TPU and more.

  • Data Architectures You've Always Wondered About

    How did they do that? Real-time predictive pipelines at places like Uber, Self-Driving Cars at Google, Robotic Warehouses from Ocado in the UK, are all possible examples.

  • Applied ML for Software

    Practical machine learning inside the data centers and on software engineering teams.

  • Time Series Patterns & Practices

    Stocks, ad tech/real-time bidding, and anomaly detection. Patterns and practices for more effective Time Series work.