Speaker: Megan Cartwright

Director of Data Science @ThirdLove

Megan is passionate about discovering causal relationships closely followed by a love of warp drive. Now she’s enjoying the challenge of predicting the best bra for any woman. She entered data science via physics where she developed algorithms to predict energy transfer across the solar system. She’s from the PNW, but loves the CA sun.  She earned her PhD in space plasma physics from UCLA and has worked in e-commerce at One Kings Lane and Eventbrite.

Find Megan Cartwright at

2019 Tracks

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.

  • Handling Sequential Data Like an Expert / ML Applied to Operations

    Discussing the complexities of time (half track) and Machine Learning in the data center (half track). Exploring topics from hyper loglog to predictive auto-scaling in each of two half-day tracks.

    Half-day tracks