Overview: The Machine Learning for Data Science laboratory focuses on the development of machine learning models and algorithms for addressing a variety of challenging problems in the emerging areas of computational social science, computational ecology, computational behavioral science and computational medicine. The lab is located within the College of Information and Computer Sciences at the University of Massachusetts Amherst. The lab was co-founded in 2012 by Prof. Benjamin Marlin, Prof. Daniel Sheldon and Prof. Hanna Wallach. Prof. Brendan O'Connor joined the lab in 2014.
Openings: We are always interested in hearing from MS/PhD and PhD students who would like to join the lab. The desired educational background includes calculus, linear algebra, probability and statistics, artificial intelligence, algorithms, and programming. Prior experience with machine learning, numerical optimization or Bayesian statistics is a plus. Relevant prior research experience is highly valued. Candidates should apply directly to the College of Information and Computer Sciences and should clearly indicate their interest in the MLDS lab in their personal statement. Information about the UMass CS graduate program is available here.