Faculty Profiles: Bruno Goncalves

Bruno Goncalves is a Fellow at NYU’s Center for Data Science, and a recent recipient of the CSS Junior Scientific Award.  His interdisciplinary approach to social science combines data science with traditional research methods for a greater understanding of human behavior.    What did you study in school?   Originally, I was a physicist with […]

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Faculty Profiles: Michael Blanton

Michael Blanton is an astrophysicist using data science to study galaxy evolution and map the Universe.  He is the director of the Sloan Digital Sky Survey, an Associate Professor in NYU’s physics department, and an Affiliated Professor at the Center for Data Science. What initially drew you to the field of astrophysics? I studied engineering […]

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Faculty Profiles: Michael Blanton

Michael Blanton is an astrophysicist using data science to study galaxy evolution and map the universe.  He is the director of the Sloan Digital Sky Survey, an Associate Professor in NYU’s physics department, and an Affiliated Professor at the Center for Data Science. What initially drew you to the field of astrophysics? I studied engineering […]

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Medidata Comes to CDS

Having sponsored the Facebook smartUP last Spring, as well as sponsoring two more smartUps taking place this Fall and Winter, Medidata has continued to partner with the NYU on multiple fronts. Even one of the Masters of Data Science students from the first graduating class, Patricia Allen, began working as a statistical analyst in June […]

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Women in Data Science: Kathryn Huff

As part of the Moore-Sloan Data Science Initiative’s ongoing commitment to promoting diversity, we are highlighting the work of 5 exceptional women in the field of data science. The first profile in our series is on Katy Huff, a Berkeley Institute for Data Science, Moore/Sloan fellow. Nuclear power is a highly controversial topic within the […]

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Interview with New CDS Professor Kyunghyun Cho

Kyunghyun Cho is a newly appointed, joint assistant professor at NYU’s Center for Data Science, and the Courant Institute for Mathematical Sciences.  His work as a researcher focuses in the area of Natural Language Processing (NLP), and he will be teaching a course in the fall on the pragmatic approaches, and philosophical foundations of using neural […]

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CDS Professor of the Year and YP Mobile Labs Chief Scientist David Rosenberg Pushes the Boundaries of Machine Learning And Predictive Analytics

Recently named NYU Center for Data Science Professor of the Year, CDS Adjunct Associate Professor David Rosenberg is currently Chief Scientist of YP Mobile Labs at YP and a former Chief Scientist at Sense Networks (acquired by YP in 2014). Dr. Rosenberg specializes in machine learning, artificial intelligence, predictive analytics and statistical modeling. Dr. Rosenberg […]

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Arthur Spirling To Join NYU This Fall As Joint Faculty in Center for Data Science and Department of Politics

Currently the John L. Loeb Associate Professor of the Social Sciences in Harvard University’s Department of Government, Arthur Spirling is a political scientist specializing in political methodology. In addition, he is affiliated with Harvard’s Institute of Quantitative Social Science and is Director of its Program on Text Research.  Professor Spirling has been honored with Harvard University’s Everett […]

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Economics and Big Data Meetup on July 31st: “Machine Learning: How Should the Art of Decision Making Intersect with Science?”

When:  Thursday, July 31st at 6:30pm Where:  NYU Courant, 251 Mercer Street, Room 109, New York, NY 10012 Topic:  Machine Learning: How Should the Art of Decision Making Intersect with Science? Murli Buluswar, VP and Chief Science Officer at AIG Property/Casualty, will be speaking on integrating Behavioral Economics, Data Science and Big Data Platforms and giving […]

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When It Comes To Data, Is Bigger Really Better? Foster Provost Says Maybe! Depending On The Characteristics Of The Data

It started with a conversation about the value of sparse, fine-grained data versus traditional dense data, then dovetailed into a study to discover which types of data actually lead to better predictive modeling. The researchers were Foster Provost (Professor at NYU) and two Belgian colleagues, Enric Junqué de Fortuny and David Martens. The results, based […]

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