Erika Lawrence

Alumni (MIDS 2018)


Deep learning, NLP, medical research


Data Science


My career is all about the data: sourcing, integrating, cleaning, structuring, and using data to create useful information to solve problems or highlight opportunities.

Most recently I have been privileged to lead a group of Architects, Analysts, Programmers and Profilers in the quest to make data clean, secure and useful. With one foot in technology and the other in management, I have played with the best of both worlds.

I am looking for new opportunities at the end of the data life cycle – using analytics, visualizations and machine learning to find patterns and predict outcomes. In particular, I am fascinated with unsupervised machine learning, prediction models (random forests and neural nets especially) and natural language processing.