Take part in workshops led by professors, engineers, and students to gain applied exposure to machine learning.
Be invited to talks and seminars led by prominent members of the ML community, including Duke's Datathon and Machine Learning Day.
Connect with exciting projects, research, and job opportunities related to machine learning and data science on- and off-campus.
Co-president. Computer science and statistics '22. Machine learning at PathAI.
Co-president. Statistics and computer science '22. Data science at Lineage Logistics.
Vice president. Mathematics and political science '22. Interested in government + ML.
Treasurer. Economics and statistics '22. Interested in data science and health.
Operations director. Computer science '21. Interested in AI + engineering management.
Engineering & analytics director. Computer science '23. Interested in education + ML.
Diversity & inclusion director. Statistics and computer science '22. Interested in biotech and data science.
Associate operations director. Computer science and statistics '23. Research at UW CSE.
Outreach director. Mathematics and computer science '23. Machine learning at SAS.
Associate operations director. BME and ECE '23. Interested in biomathematics and ML.
MLBytes committee. Computer science and ECE '22. Engineering at Amazon.
Design committee. Cultural anthropology and visual & media studies '21. Interested in UX design.
Outreach committee. Statistical science '23. Interested in ML and finance.
Advisor. Computer science '21. Interested in AI safety.
Advisor. Computer science and statistical science '21. Engineering at Facebook.
Advisor. Computer science and biology '21. Operations at Facebook.
Faculty advisor. Assistant professor of statistical science at Duke University. MIT 35 under 35.
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