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Higher-Order Generalized SVD for Comparative Analysis of Large-Scale Datasets

This month we have Dr. Sri Priya Ponnapalli presenting "Higher-Order Generalized Singular Value Decomposition for Comparative Analysis of Large-Scale Datasets".

Here's the combined abstract and bio:

Dr. Sri Priya Ponnapalli received her Ph.D. in Electrical and Computer Engineering in 2010 from the University of Texas at Austin, working in the Genomic Signal Processing Lab of Dr. Orly Alter, USTAR Associate Professor of Bioengineering and Human Genetics at the SCI Institute. In her Ph.D. dissertation, Dr. Ponnapalli developed a novel mathematical framework for the comparison of multiple large-scale datasets that are arranged in tables of different row dimensions but the same column dimensions. The number of such datasets, recording different aspects of a single phenomenon, is fast growing in science and medicine. Gaining access to the full information that these datasets store requires mathematical frameworks that can compare and contrast them in order to find the similarities and dissimilarities among them. Until now only one such framework existed, which was limited to a comparison of two datasets at a time.

Ponnapalli and Alter, in collaboration with Drs. Charles F. Van Loan of Cornell University and Michael A. Saunders of Stanford University, formulated a novel generalization of the existing framework that enables comparison of more than just two datasets at a time. The team demonstrated the novel framework in comparative modeling of the cellular activities of three evolutionarily disparate organisms – human and budding and fission yeasts. The mathematical model successfully identified and separated cellular events that are common to the human and yeasts from those that are exclusive to only one of the organisms. (To read the 2011 PLoS One article, visit ).

This talk will present the comparative mathematical framework formulated by Ponnapalli in her Ph.D. dissertation. Although this framework was developed with applications in biotechnology in mind, it could similarly be used to make discoveries in any of the many areas where large-scale datasets are being accumulated today.

Ponnapalli is now part of the R&D Machine Learning group at Bloomberg. (To read more, visit ).

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  • Alex G.

    I love this group. The aol offices were my favorite venue, followed by pivotal. I wish Sailthru's space was big enough, because we'd love to host this meetup!

    June 27, 2013

  • Adrian H.

    Great talk!

    June 27, 2013

  • Paul D.

    For those who can't make it or are wait listed, Knewton will be live streaming the event at

    June 27, 2013

  • A former member
    A former member

    un-wait listed too late, will not be there but Meetup won't let me release the spot .....

    June 27, 2013

  • Maria C. F.

    Very sorry something VERY last minute came up.

    June 27, 2013

  • Emory C.

    Big storm in my path. Next time.

    June 27, 2013

  • polina

    Someone from the waitlist can have my spot

    June 26, 2013

  • Mehul S.

    Anyone commuting from Central Jersey? We could hop on the same train and get to know each other.

    June 23, 2013

  • Zachary

    Sounds like a fun topic

    June 21, 2013

  • Randy C.

    Darn, can't make it.

    June 21, 2013

  • venkatanathen

    I will attend

    June 20, 2013

  • Nitin k.

    Will this be recorded since there are people like me on the waiting list....

    1 · June 20, 2013

  • Priya V.

    Hi, I would like to join this meetup. I look forward to meeting with fellow members. Thanks. Priya.

    June 19, 2013

  • Mark S. W.

    I work for ML optimization vendor Datacratic, Looking forward to this.

    June 18, 2013

  • B. M.

    Looking forward to it!

    June 18, 2013

  • venkatanathen

    I will attend this meeting

    June 18, 2013

  • Sean

    Trying to learn a bit about AI

    June 18, 2013

  • Nick G.

    i'm so there :)

    June 18, 2013

  • Roberto S.

    looking forward to coming to this meetup!

    June 18, 2013

  • Andrew G.


    June 18, 2013

  • Zachary N.

    Awesome I'd love a more technical talk!

    June 18, 2013

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