# Data Science in 30 Minutes: A Conversation with Gregory Piatetsky-Shapiro, President of KDnuggets, Jan 11

KDnuggets founder, Gregory Piatetsky-Shapiro, joins Michael Li, CEO and founder of The Data Incubator, Jan 11 at 2:30 pm PT/ 5:30 pm ET for their monthly webinar series, Data Science in 30 Minutes. Gregory will discuss his career - from Data Mining to Data Science and examine current trends in the field.

**This FREE webinar will be on January 11th at 5:30 PM ET. Register now, space is limited!
Sign up HERE.**

Join The Data Incubator and KDnuggets Gregory Piatetsky-Shapiro, Ph.D for the next installment of our free online webinar series, "Data Science in 30 minutes: A Conversation with KDnuggets President".

Gregory will discuss his career – from Data Mining to Data Science and examine current trends in the field.

From Data Mining to Knowledge Discovery to Data Science: Gregory Piatetsky talks about his pioneering career in data science, including founding KDnuggets, and co-founding KDD Conferences and ACM SIGKDD, and examines current trends in the field, Data Science Automation, citizen Data Scientists, and implications of AI.

**About the speakers:**

**Gregory Piatetsky-Shapiro, Ph.D.**, is a well-known Data Scientist, and the President of KDnuggets, a leading site for Analytics, Big Data, Data Science, Data Mining, and Machine Learning. Gregory is a co-founder of KDD (Knowledge Discovery and Data Mining, the top research conference in the field) and a co-founder and past chair of ACM SIGKDD, the professional association for Data Mining and Data Science.

See also Gregory homepage or Gregory’s Wikipedia page.

**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.