Sayan Mukherjee

Sayan Mukherjee

Statistical Science

Research interests

  • Statistical and computational methodology in genetics, cancer biology, metagenomics, and morphometrics;
  • Bayesian methodology for high-dimensional and complex data;
  • Machine learning algorithms for the analysis of massive biological data;
  • Integration of statistical inference with differential geometry and algebraic topology;
  • Stochastic topology;
  • Discrete Hodge theory;
  • Inference in dynamical systems

Additional Profiles & Links:


Related News

A Duke University team led by professor of statistical science and mathematics Sayan Mukherjee has won a three-year, $1.5 million dollar grant that will develop the foundations of data science both at Duke and in the...

Duke graduate student Anna Yanchenko and statistics professor Sayan Mukherjee are teaching computers to write classical piano music in the mode of great composers like Mendelssohn and Beethoven.

Related Projects

Anna Yanchenko and Sayan Mukherjee Algorithmic composition of music has a long history and with the development of powerful deep learning methods, there has recently been increased interest in exploring algorithms and models to create art. We explore the utility of Hidden Markov Models in composing classical piano pieces from...

Weiyao Wang (Math) and Jennifer Du , along with NCCU Physics majors Jarrett Weathersby and Samuel Watson, spent ten weeks learning about how search engines often provide results which are not representative in terms of race and/or gender. Working closely with entrepreneur Winston Henderson, their goal was to understand how to frame this problem via statistical and machine-learning methodology,...