• Podcast: Data Nation

    IDSS faculty and industry experts unpack how data can be used to lead, mislead, manipulate, and inform the public’s viewpoints and decisions. Season 2 has begun!


  • MicroMasters in Statistics and Data Science

    Learn data science methods and tools, get hands-on training in data analysis and machine learning, and find opportunities in a growing field. Watch our latest informational webinar.


  • Data Science and Machine Learning: Making Data-Driven Decisions

    This 10-week online program covers statistics and Python foundations, machine learning, prediction, recommendation systems, and more.


  • Nonparametric Bayesian Statistics

    Bayesian nonparametrics provides modeling solutions by replacing the finite-dimensional prior distributions of classical Bayesian analysis with infinite-dimensional stochastic processes.


  • Causal inference and applications to learning gene regulatory networks

    Causal inference: Geometry of conditional independence structures for 3-node directed Gaussian graphical models.


  • Combinatorial learning with set functions

    Learning problems that involve combinatorial objects are ubiquitous – they include the prediction of graphs, assignments, rankings, trees, groups of discrete labels or preferred sets of a user; the expression of prior structural knowledge for regularization, the identification of sets of important variables, or…


  • Online Learning

    In this line of research, we develop strategies to optimize utility in dynamic environments in an optimal and efficient fashion.


  • Statistical and Computational Tradeoffs

    Computational limitations of statistical problems have largely been ignored or simply overcome by ad hoc relaxations techniques.