The CSAIL Alliances Student & Postdoctoral Fellows Profile Book includes brief profiles of students, postdocs, researchers and select recent alumni at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). This book, compiled by CSAIL Alliances, is designed to introduce CSAIL students to our program members and to help forge valuable new connections. This book represents a self-selected group of students (submitting a profile is voluntary), who are interested in exploring opportunities in industry - whether for internships, co-ops, part-time or Full- Time Positions. Select recent alumni are included that may be open to positions requiring some work experience.

 

We hope this profile book proves beneficial to our students and to our CSAIL Alliances members.

The Alliances Annual Meeting is the highlight of our yearly event schedule, bringing together our CSAIL faculty, researchers, students, and member companies to learn about cutting-edge research, share real industry challenges, and form new connections across industry and academia.

This year featured future-focused sessions, member-led sessions, and practical sessions to maximize your Alliances membership. Topics include: The Latest Advances in Generative AI, Robot Revolution, Next Generation Software Efficiency, MLA, Future of Data, Trust and Privacy, and much more.

View CSAIL Alliances benefits for the Student Engagement, Affiliate and Partner programs, research initiatives, and the Lab/Strategic partnerships. For more information regarding the current benefits, please visit the Benefits page.

CSAIL Alliances connects organizations to CSAIL through a variety of engagement programs. Being a large lab, there are several different paths to collaboration. What is your motivation to connect with the lab as an industry partner? Whether it’s research, faculty connections, new technology, talent acquisition or development, startups, or just wanting to stay informed, there is a path of engagement to work with CSAIL at MIT. Industry has a vital role at the lab. We seek input into hard problems industry faces for which no commercial solution exists. How can we work to advance the field? Solve hard problems? Help companies and individuals through advances in computation?

The Clinical Decision-Making Group's mission is to explore and further the application of  technology and artificial intelligence to clinical situations. They also focus on the gathering, availability, security, and  use of medical information throughout the human “life  cycle” and beyond, in order to help support the vital nature  of medical practice.