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EVENT DETAILS |
JoinThe Data Incubatorand 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 & software developer to Data Scientist. She will explain how her technology roles & skills have evolved as this new discipline emerged over the last decade. First, starting out as a young Python & Artificial Intelligence enthusiast & eventually after many years, finally embracing Data Science as a discipline, andleading a strong & diverseData Science team.
About the speakers:
Katrina Riehl is Director of CoreDataScienceat HomeAway.com. Over the course of her career, Katrina has worked extensively in the fields of scientific computing, machine learning,datamining, & 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, & leading efforts on the DARPA MEMEX project investigating Human Trafficking at Continuum Analytics (now Anaconda). Katrina received her PhD in ComputerScience with a concentration in Artificial Intelligencefrom the University of Texas at Dallas.
Michael LifoundedThe Data Incubator, a New York-based training program that turns talented PhDs from academia into workplace-ready data scientists & 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), & a rocket scientist (NASA). He completed his PhD at Princeton as a Hertz fellow & read Part III Maths at Cambridge as a Marshall Scholar. At Foursquare, Michael discovered that his favorite part of the job was teaching & 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, & attending geeky data science events.
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