The 24th annual LIDS Student Conference featured plenary speakers, a career panel, and student presentations on topics like Optimization and Algorithms, Networks, Machine Learning and Statistics, and Control Theory and Applications.
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Institute for Data, Systems, and Society (IDSS) is committed to addressing complex societal challenges by advancing education and research at the intersection of statistics, data science, information and decision systems, and social sciences.
The NSF-supported MIT Institute for Foundations of Data Science (MIFODS) held an interdisciplinary workshop led by Statistics and Data Science Center affiliate Aleksander Madry aimed at tackling the underlying theory behind deep learning.
IDSS affiliate Hamsa Balakrishnan is the associate head of the Department of Aeronautics and Astronautics at MIT. She is also the director of Transportation@MIT, where she is reimagining the scope of transportation research at MIT to include opportunities presented by data, intelligence, and autonomy.