We are very excited to have Chris Wiggins from Columbia and the New York Times as our April speaker. He'll be talking about using machine learning and large data in both academia and in business.
Please note the new location in TriBeCa at the iHeartRadio Theater thanks to Misha Lisovich.
About the talk:
Within both the communities of academia and industry, nearly all fields have been or are being transformed by the availability of copious data and the tools to learn from them. Such transformation can bring both joy and pain; in biology, for example, this pain was experienced in the 1990s with the sequencing of whole organisms. Much of that experience---such as the demands for novel collaborations across previously-separated communities, and the opportunity to create new strategies for attacking the core questions of the discipline---has close parallels in both communities. I'll use our time together to share some ways re-framing domain questions as machine learning tasks has opened up new avenues for understanding both in academic research and in real-world applications. Please do reach out to [masked] with any ideas you particularly would like to see addressed.
About Dr. Wiggins:
Chris Wiggins is an associate professor of applied mathematics at Columbia University as well as Chief Data Scientist at the New York Times. Prior to joining the faculty at Columbia he was a Courant Instructor at NYU and earned his PhD in theoretical physics at Princeton University. His research focuses on applications of machine learning to real-world data.
He is a founding member of the Institute for Data Sciences and Engineering at Columbia, serving on the Executive Committee, the Entrepreneurship Committee, and the Education Committee. He is also co-founder of hackNY.org, whose programs have introduced hundreds of students to New York City's growing venture-backed startup environment.
Pizza starts at 6:15, giveaways and Dr. Wiggins's talk begin at 7 and then after we will head to a local bar.