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. Mathematics and computer science '19. Interested in deep learning and robotics.
Co-president. Computer science, statistical science, and mathematics '20. Interested in computer vision.
Vice president. Computer science and neuroscience '19. Interested in social computing and collaboration.
Finance director. Computer science and statistics '20. Interested in computer vision and geospatial data.
Outreach & relations director. Statistical science and mathematics '19. Interested in NLP and time series.
Operations director. Computer science and statistical science '21. Interested in ML and AI.
Marketing director. Computer science and mathematics '21 with a minor in philosophy. Interested in ML and NLP.
Diversity & inclusion director. Computer science and biology '21. Interested in bioinformatics and ML.
Regional outreach director. Computer science and ECE '20. Interested in brain-computer interfaces.
Operations director. Computer science and statistics '20. Interested in using data science for good.
Arts & media director. Computer science '21. Interested in bridging CS and humanities.
Assistant outreach & relations director. Computer science and economics '22. Interested in data science and AI.
Assistant operations director. Statistics and computer science '22. Interested in AI and econometrics.
Alumni. BME and ECE '18 with a minor in mathematics. Attending graduate school at Duke.
Alumni. Computer science '18. Interested in ML and differential privacy. Headed to Apple.
Faculty advisor. Assistant professor of statistical science at Duke University. MIT 35 under 35.
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