Computer Science and Artificial Intelligence Laboratory (CSAIL)

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  • David Gifford, EECS professor and director of the Computational Genomics Group in the Computer Science and Artificial Intelligence Lab (CSAIL), working with members of his group, has developed a new algorithm for analyzing millions of experimentally identified DNA fragments and allowing the inference -- with 55% accuracy in the most difficult cases -- of the precise locations at which transcription factors bind to them. Read more!
  • This fall, the faculty and students in the Electrical Engineering and Computer Science (EECS) Department at MIT are coming together for a new program that has created a buzz since its announcement last spring. The Advanced Undergraduate Research Program — now officially called the SuperUROP — for EECS department juniors and seniors has already enticed over 200 students with more than 100 exciting research projects proposed by the department's faculty. Read more!
  • Manolis Kellis, an associate professor of computer science at MIT and an associate member of the Broad Institute, is one of the lead computational scientists and authors of a paper that describes the functionality of the non-gene regions (about 80 percent) of the human genome, the so-called 'junk DNA'.
  • We study several natural problems in which an {\em unknown} distribution over an {\em unknown} population of vectors needs to be recovered from partial or noisy samples. Such problems naturally arise in a variety of contexts in learning, clustering, statistics, data mining and database privacy, where loss and error may be introduced by nature, inaccurate measurements, or on purpose.
  • Applying random linear projections, a.k.a. "sketching", has become a standard technique when analyzing high-dimensional data sets. The resulting algorithms are embarrassingly parallelizable and suitable for stream processing.

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