Marco Brambilla
  • Male
  • Como, Lombardia
  • Italy
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Short Bio:
Associate Professor at Politecnico di Milano.
Politecnico di Milano
Job Title:
Associate Professor
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Data Shack, joint program Polimi - Harvard

Data Shack is a two-part research collaboration and innovative "hands-on" education experience involving students and faculty from the Institute for Applied Computational Science (IACS) at Harvard’s John A. Paulson School of Engineering and Applied Sciences (SEAS) and from the Master Courses in Computer Engineering and Design of Communication at Politecnico di Milano.

Eight students, four from Harvard and four from Politecnico di Milano, will join together to solve problems within the data science context. Under the supervision of Harvard and Politecnico di Milano faculty, this activity will give students the opportunity to work collaboratively with real world application.

Problems will cross the disciplines of data management, machine learning, data analysis, statistics and mathematics, data visualization and user experience design. Students will craft their solutions by developing the methodology, software, visualization, and high-performance elements, testing, completing the solution, and finally producing final papers that may be submitted for publication.

This joint venture will provide an exciting research opportunity for graduate students in data science to apply their work to the problems of society.

You can find more about this at:


Data Shack is supported by the Data Science group at Politecnico di Milano

Marco Brambilla's Blog

New MOOC on Coursera on Data Science for Business Innovation for non-IT Professionals

Posted on July 9, 2019 at 4:30am 0 Comments

The course "Data Science for Business Innovation" is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation.

It consists of introductory lectures spanning big data, machine learning, data valorization and communication for a non-technical audience.

You can register for free on Coursera at this…


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