Welcome to NYU's Computer Science Department, part of the world-famous Courant Institute of Mathematical Sciences. Our department has considerably expanded over the past few years, adding many outstanding faculty with diverse research interests. We are proud of our strong research and educational connections to other departments and schools at NYU, including the departments of Mathematics, Chemistry, Physics, and Biology; the Center for Neural Science; the Stern School of Business; the Tisch School of the Arts; the Wagner School of Public Service; and the NYU School of Medicine.

Our undergraduate majors and MS students have numerous interesting and well-paying employment opportunities at major corporations in New York City and vicinity. Our PhD graduates are employed in a broad spectrum of academic and industrial research positions.

  News and Highlights  

Sad news of Prof. Robert Dewar

Professor Emeritus Robert Dewar has died at the age of 70. Robert was a faculty member in the computer science department from 1975 until his retirement in 2005 and was chair of the department from 1978 to 1980. Robert was a leading figure in programming languages, particularly in the development of Ada; an inspiring and admired teacher; a raconteur, singer, and actor; and a well-loved colleague and friend. Our sympathies to his family and friends.

Yann LeCun in Le Monde

Yann LeCun and his work on deep learning are featured in an article in Le Monde (in French).

INRIA International Chair

Dennis Shasha has been named an INRIA international chair; he will be hosted by the ZENITH project, which works on data intensive problems having applications in biology and astronomy. Congratulations!

CACM Puzzle Editor

Dennis Shasha, long-time author of puzzle columns and books, was named the puzzle column editor for the Communications of the ACM (CACM) in November 2014. Check out a recent column.

NAE Frontiers of Engineering Invited Speaker

Lakshmi Subramanian was an invited speaker at the 2015 National Academy of Engineering, China-US Frontiers of Engineering symposium, speaking on Big Data.  Congratulations!

Remembering Prof. Jack Schwartz

One of the founders of the NYU Computer Science Department, Jack Schwartz, is remembered in a collection of reminiscences in the current issue of the Notices of the American Mathematical Society, including a contribution from Professor Emeritus Martin Davis.

<<More News>>

Learning and modeling the circuits that operate life: The Bonneau lab aims to learn large biological networks directly from genomics data (genomics =3D very scalable biology experiments). Our recent work, as part of collaborative teams of systems biologists and computational biologists, has recently resulted in genome-wide models that are capable of simulating the functioning of the genome in real time (Bonneau, et. al, 2006, Cell). Dr. Bonneau's lab develops new algorithms that attempt to learn the regulatory networks (their topology and dynamical parameters) that are at the core of biological systems. This work was featured in a 2008 Discover Article, where Dr. Bonneau was selected as one of the top 20 scientists under 40. This work is collaborative work that relies on NYU's local expertise in Machine Learning, Modeling complex systems and their dynamics, and Genomics.

With Ph.D. student Eugene Weinstein and Google researcher Pedro Moreno, Mehryar Mohri is working on audio fingerprinting techniques that enable computers to recognize songs. This work represents songs in terms of "music phonemes", elementary units of music sound that are learned from data, and uses weighted finite-state transducers to construct a compact and efficient index of a large database of songs. The image depicts an example of such a transducer. As a result, songs can be recognized quickly and accurately when only a recording of a short "audio snippet" is available and even when the recording is distorted. The group has created a working system with a database of 15,000 songs. Moreover, it has proven new bounds on the size of the indexing finite automata used that guarantee the compactness of this representation as the number of songs indexed increases and suggests that their techniques scale to much larger song data sets.

Links: Example


Check the Colloquia for more scheduled talks.

Check the CIMS Weekly Bulletin for more events.

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