Director's Message

The Center for Statistics and Machine Learning is a focal point on campus for cross-disciplinary education and research in statistics, machine learning, and data science. We bring together faculty, postdocs, and students from computer science and engineering disciplines to social sciences, physical sciences, and humanities, all united by a strong interest in using data and algorithms to explore important scientific and societal questions.

Our undergraduate Minor Program is one of the most popular educational programs on campus. All our students graduate with a solid and practical grounding in modern data analysis and machine learning, skills that are increasingly important in the modern world. Many of our graduates join businesses and institutions as practicing data and machine scientists, actively shaping the future of the field. 

Our Graduate Certificate in Statistics and Machine Learning is similarly designed to meet the needs of master’s and doctoral students. It offers a practical and comprehensive curriculum that equips you with the skills and knowledge necessary for success in the field.

We support Research by developing workshops on statistics and machine learning, providing access to research software engineers, organizing lunch-and-learn seminars, and co-sponsoring events that aim to expand and deepen the use of statistical and machine-learning methods across campus. 

At the Center, we foster a sense of community and collaboration among our faculty, researchers, and students. There are numerous avenues for engagement, including working with our students and faculty, participating in paid summer internships, and attending enriching seminars, events, and classes. We also welcome external interest and partnership with local industry, further expanding our community.

Peter Ramadge
Director of the Center for Statistics and Machine Learning