Held in Toronto, Canada, last month, the IEEE Conference on Secure and Trustworthy Machine Learning (IEEE SATML) focuses on expanding on the theoretical and practical understandings of vulnerabilities inherent to ML systems, exploring the robustness of ML algorithms and systems, and aiding in developing a unified, coherent scientific community which aims to build trustworthy ML systems. The event’s organizers recognized only two papers with their Distinguished Paper Award, and new research by Brown CS PhD student Victor Ojewale was one of them.

Congratulations to CCMB and CNTR’s doctoral candidates who successfully defended their dissertations this year!

This year's Deep Learning Day (actually held across two days due to large participation) showcased student projects across a myriad of fields, from computer vision to healthcare to art, and included many projects from DSI students.

DSI and CS Master’s students in Professor Roberta DeVito’s DATA2020: Statistical Learning class gathered at DSI for an engaging poster session on their statistical learning projects this week.

Brown University’s Dean of the Faculty gives out five different awards annually to recognize continued excellence in teaching, and this year, Brown CS and Data Science Institute faculty member Ritambhara Singh has received the Dean’s Award for Excellence in Teaching for a junior faculty member from the physical or life sciences.

Congratulations to DSI postdoc Cristina Menghini and Brown colleagues Stephen Bach (Assistant Professor of Computer Science) and Yong Zheng-Xin (PhD student in Computer Science)!