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Chris Wiggins
Works at Columbia University
Attended PhD, Princeton University
Lives in NYC


Chris Wiggins

Discussion  - 
Congrats to Yann and to NYC on this news!

new Facebook AI lab in NYC:
Big news today! Facebook has created a new research laboratory with the ambitious, long-term goal of bringing about major advances in Artificial...
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Chris Wiggins

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Nice mention of NYU's new CDS here, with quote from Roy Lowrance, managing director at the Center for Data Science at New York University.
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Chris Wiggins

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New MS in Data Science at Columbia!
Masters in Data Science
The proposed Masters in Data Sciences program has been approved by Columbia University and is anticipated to launch in the fall of 2014. The application has been posted and the deadline to apply is February 15th. The program is still pending New York State approval, however, we have been granted permission to launch the application for the program. Applications are being accepted, however the admissions decision timeline will be contingent upon when the program receives approval from the State of New York.
Program Overview
This program will offer students an in depth education experience to focus on data science as it pertains to their unique interests. The foundation of this program has been built from the 4-course Certification of Professional Achievement in Data Sciences program. Students will be interacting with diverse faculty members and students, given the opportunity to conduct research opportunities, included in a capstone project course, and available for industry interaction.
The M.S. students will be given the opportunity to select an elective track which incorporates the six centers within the Institute as well as an Entrepreneurship track. This allows students to hone in on their particular interests and skill sets.
Our proposed curriculum will likely be as follows:
·         Algorithms for Data Science (CS/OR), 3 credits

·         Machine Learning for Data Science (CS), 3 credits

·         Exploratory Data Analysis for Data Science (STATS), 3 credits

·         Computer Systems for Data Science (CS), 3 credits

·         Probability (STATS), 3 credits

·         Statistical Inference & Modeling (STATS), 3 credits

·         Data Science Capstone & Ethics (ENG), 3 credits

·         Electives (9 credits) – for a total of 30 credits

The program may be completed in two semesters of full-time intensive study.
Questions? Please contact for more information.
NYC Data Science
news and views about data science in the Greater New York City Area
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Chris Wiggins

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upcoming NYC/Big data event


* Cathy O'Neil, Senior Data Scientist at Johnson Research Labs 
* Claudia Perlich, Chief Scientist at M6D 
* Drew Conway, Scientist-in-Residence at IA Ventures 
* Chris Wiggins, Professor at Columbia University and co-founder of HackNY 
* Max Shron - Data strategy consultant and former data scientist at OkCupid
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applied mathematician with a PhD in theoretical physics applying machine learning to computational biology.
Associate Professor, Columbia University

Focus areas include applications of machine learning, statistical inference, and information theory for the inference, analysis, and organization of biological networks

Cofounder, Copresident, Coorganizer, and Board of Directors,

``Co-organized by faculty from NYU and Columbia, and with a board of advisors which includes educators, technologists, and entrepreneurs, hackNY organizes the summer Fellows program and student ‘hackathons’ during the school year in order to create and empower a community of student-technologists."
  • PhD, Princeton University
    Theoretical Physics, 1993 - 1998
  • BA, Columbia College of Columbia University in the City of New York
    Physics, Math, Religion, 1989 - 1993
.edu: associate professor @columbia ; .org: cofounder @hackNY
  • Columbia University
    Associate Professor, 2006 - present
  • Columbia University
    Assistant Professor, 2001 - 2006
  • Courant Institute, NYU
    Assistant Professor/Courant Instructor, 1998 - 2001
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