Data Science

  • Inaugural Princeton Day of Optimization convenes researchers at forefront of data science and machine learning

    Tuesday, Oct 9, 2018
    by James Bronzan, Office of Communications

    How should society decide who gets a liver transplant? Should there be marketplaces for data in the near future and how should these markets be run? If a driverless car kills someone, who is at fault? And how can randomness help optimize algorithms used in machine learning?

    These questions and others, from the highly technical to the broadly applicable, were discussed at the inaugural Princeton Day of Optimization, a day-long conference on Friday, Sept. 28.

  • Chemist Car wins DOE funding for computational chemistry center

    Thursday, Sep 20, 2018
    by Liz Fuller-Wright, Office of Communications

    The U.S. Department of Energy (DOE) announced Wednesday, Sept. 19, that Roberto Car, Princeton’s Ralph W. *31 Dornte Professor in Chemistry and a professor with the Princeton Institute for the Science and Technology of Materials, was one of 10 researchers to win funding for computational chemistry. His proposal title was “Computational Chemical Science Center: Chemistry in Solution and at Interfaces.”

  • Mind the gap: Bridging the computer-human divide

    Friday, Sep 14, 2018
    by Doug Hulette

    Suppose you’re about to go snorkeling on the Great Barrier Reef or some other area of underwater beauty. You should be thinking about the wondrous marine life you’ll certainly see. But instead you’re fixated on the vanishingly small chance of coming eye to eye with a hungry shark.

  • Diving into the mysteries of deep learning

    Tuesday, Sep 11, 2018
    by Doug Hulette

    Sanjeev Arora, the Charles C. Fitzmorris Professor in Computer Science, is exploring the most baffling aspects of machine learning—especially “deep learning.” His end goal is to open the door to training techniques for machines that make the right decisions, mathematically guaranteed.

  • Ant-y social: Successful ant colonies hint at how societies evolve

    Thursday, Aug 23, 2018
    by Liz Fuller-Wright, Office of Communications

    Ants and humans live in large societies that allow for elaborate structures — nests, cities — filled with resources. Sometime in the distant past, individuals must have organized themselves into the first simple groups, precursors of these complex societies. But how?

    A team of researchers from Princeton University and Rockefeller University tackled this question by combining sophisticated mathematical models with detailed empirical observations of the clonal raider ant (Ooceraea biroi).

  • From 'sea of mutations,' two possible cancer links rise to the surface

    Wednesday, Aug 8, 2018
    by Molly Sharlach, Office of Engineering Communications

    By analyzing data from thousands of patients, Princeton researchers have identified genetic mutations that frequently occur in people with uterine cancer, colorectal cancer or skin cancer — an important step toward using genome sequences to better understand cancer and guide new treatments.

  • Data tools give microscopes unprecedented views of living and physical systems

    Wednesday, Aug 8, 2018
    by Steven Schultz, Office of Engineering Communications

    Techniques and tools for seeing fleeting arrangements of atoms during chemical reactions are advancing rapidly, allowing unprecedented insights into physical and living systems, according to experts in microscopy from around the world who gathered for a three-day conference at Princeton in July.

  • Method reveals how hidden DNA mutations affect tissues

    Thursday, Jul 26, 2018
    by Adapted from the Simons Foundation

    In a development with implications for better understanding disease, researchers have created a computational system to predict the effect that mutations in noncoding DNA — sections that don’t produce proteins — have on tissues and cells in the human body.

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