Provost Francis J. Doyle III announced that Brenda Rubenstein, Associate Professor of Chemistry and Physics, has been named the Director of the Data Sciences Institute (DSI), effective July 1, 2025 through June 30, 2028.

On November 11, DSI hosted a mixer for our Affiliated Faculty community to meet, mingle, and learn about each other's work.

On Friday October 18, DSI hosted Brown's first Women in Data Science (WiDS) Providence Conference, organized by DSI students and postdocs and featuring experts from data science industry and academia.

On October 15, DSI launched a new Online Data Science Master’s program in collaboration with the Brown School of Professional Studies with a unique curriculum focused on policy, governance, and ethics in data science.

This summer, DSI put out a call for Brown faculty from across the university to join our affiliated faculty. DSI accepted sixty-one new faculty affiliates this week and now hosts a community of 115 faculty affiliates whose research or teaching involves data or computational science.

During National Postdoc Appreciation Week 2024, DSI is highlighting our postdocs and their range of impactful work.

Meet the incoming PhD students who will be joining CCMB and CNTR this year.

Diana Freed joins Brown CS and Brown’s Data Science Institute as an assistant professor. Diana is involved in an emerging area of computer science focused on building and designing technologies specifically to improve online safety and well-being for vulnerable and marginalized populations globally.

A unique undergraduate class on data visualization and narrative taught this past spring thrills students and teaches valuable skills in data science and design.

Gianluca Brero, a DSI and CS postdoc who recently became an Assistant Professor at Bryant University, discusses his research on using real-world data and AI to improve the design and fairness of markets like Uber, AirBnB, mobile network license auctions, and sustainable energy.

Alden Bumstead, DSI’s Associate Director, is retiring after seven years at the Data Science Institute. She has shepherded DSI through its growth from a small program to a thriving Institute at Brown.

DSI became the Data Science Institute at Brown on July 1, 2023 after seven years as an “Initiative” and much hard work. We’re looking back at some highlights and the state of the Institute after a successful year.

Get to know Ying Ma, Assistant Professor of Biostatistics and Core Faculty at the Center for Computational Molecular Biology (CCMB).

Get to know Karianne Bergen, Assistant Professor of Data Science and Earth, Environmental, and Planetary Sciences and DSI Director of Postdoctoral Engagement.

Get to know Suresh Venkatasubramanian, Deputy Director of the Data Science Institute, Professor of Data Science and Computer Science, and Director of the Center for Technological Responsibility, Reimagination, and Redesign.

DSI celebrates our 2024 graduating students with an Undergrad and PhD Lunch and a Master's Dinner during Commencement Weekend. Congratulations to our graduating students!

Congratulations to all of the graduating students earning their doctoral, master’s, and undergraduate degrees from DSI-related programs this year!

Each year, DSI awards a number of seed grants to researchers pursuing data science projects across the university. DSI recently announced the grantees of the 2024 Data Science Seed Grants @ Brown and celebrated the accomplishments of the 2023 grantees.

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)!

Professor Venkatasubramanian made the list as one of The Chronicle of Philanthropy's "33 Leaders Standing Up to Big Tech in the Age of A.I."

DSI has made grants supporting nine projects at Brown.

DSI's Director of Graduate Studies, Andras Zsom, led a workshop called "Introduction to Interpretability in Machine Learning."

Brown University recently became a member of the Public Interest Technology University Network (PIT-UN). PIT-UN fosters collaboration between universities and colleges to build the field of public interest technology and nurture a new generation of civic-minded technologists. This

Linda Clark, newly promoted to Senior Lecturer of Data Science, has been the driving force behind DSI’s undergraduate education programs at Brown.

On Tuesday, February 7, the Brown faculty voted in favor of creating a Brown Data Science Institute, building on the Data Science Initiative that was created here in 2016.

Tassallah Amina Abdullahi, a second-year doctoral student in Computer Science, has won a highly competitive Computational and Data Science Fellowship from the Association for Computing Machinery’s Special Interest Group on High Performance Computing (ACM SIGHPC).

Stephen Bach (Assistant Professor of Computer Science) and Jonathan Pober (Assistant Professor of Physics), along with colleagues at the University of Washington, have been awarded a Collaborative Research grant from the National Science Foundation