Join The Data Incubator and Katrina Riehl, Director of Data Science at HomeAway.com, for the July 2018 installment of our free monthly webinar series, Data Science in 30 minutes: The Accidental Data Scientist.

Abstract: Katrina will detail the journey her career has taken from researcher and software developer to Data Scientist. She will explain how her technology roles and skills have evolved as this new discipline emerged over the last decade. First, starting out as a young Python and Artificial Intelligence enthusiast and eventually after many years, finally embracing Data Science as a discipline, and leading a strong and diverse Data Science team.

About the speakers:

Katrina Riehl is Director of Core Data Science at HomeAway.com. Over the course of her career, Katrina has worked extensively in the fields of scientific computing, machine learning, data mining, and visualization. Most notably, she worked on classifying submarines from SONAR data at the University of Texas at Austin Applied Research Laboratories, fighting credit card fraud at Apple, and leading efforts on the DARPA MEMEX project investigating Human Trafficking at Continuum Analytics (now Anaconda). Katrina received her PhD in Computer Science with a concentration in Artificial Intelligence from the University of Texas at Dallas.





Michael Li founded The Data Incubator, a New York-based training program that turns talented PhDs from academia into workplace-ready data scientists and quants. The program is free to Fellows, employers engage with the Incubator as hiring partners.

Previously, he worked as a data scientist (Foursquare), Wall Street quant (D.E. Shaw, J.P. Morgan), and a rocket scientist (NASA). He completed his PhD at Princeton as a Hertz fellow and read Part III Maths at Cambridge as a Marshall Scholar. At Foursquare, Michael discovered that his favorite part of the job was teaching and mentoring smart people about data science. He decided to build a startup to focus on what he really loves.

Michael lives in New York, where he enjoys the Opera, rock climbing, and attending geeky data science events.