Skip to main content
MIT Corporate Relations
MIT Corporate Relations
Search
×
Read
Watch
Attend
About
Connect
MIT Startup Exchange
Search
Sign-In
Register
Search
×
MIT ILP Home
Read
Faculty Features
Research
News
Watch
Attend
Conferences
Webinars
Learning Opportunities
About
Membership
Staff
For Faculty
Connect
Faculty/Researchers
Program Directors
MIT Startup Exchange
User Menu and Search
Search
Sign-In
Register
MIT ILP Home
Toggle menu
Search
Sign-in
Register
Read
Faculty Features
Research
News
Watch
Attend
Conferences
Webinars
Learning Opportunities
About
Membership
Staff
For Faculty
Connect
Faculty/Researchers
Program Directors
MIT Startup Exchange
Back to Faculty/Researchers
Prof. Tim Kraska
Associate Professor in Electrical Engineering and Computer Science
Primary DLC
Department of Electrical Engineering and Computer Science
MIT Room:
32-G914
(510) 926-5856
kraska@mit.edu
http://people.csail.mit.edu/kraska/
Areas of Interest and Expertise
AI and Machine Learning
Systems and Networking
Big Data
Artificial Intelligence
ML-Enhanced Data Structures and Algorithms
Systems for Interactive Data Exploration and Model Building
Infrastructure for rack-scale analytics and machine learning
Transaction Processing Over High-Speed Networks
Hybrid Human-Machine Data Management Systems
Research Summary
Kraska's research focuses on building systems for machine learning , and using machine learning for systems. For example, with work on Learned Indexes we started to explore how we can enhance or even replace core systems components using machine learning models and early results suggest, that we are able to achieve significant performance improvements over state-of-the-art techniques and sometimes are even able to change the complexity class of certain algorithms. On the other hand, with Northstar we are exploring new user interfaces and infrastructure to democratize data science by enabling visual, interactive, and assisted data exploration and model building. One particular focus of our work is to not only make the model building process faster, but also safer by automatically preventing the user from common pitfalls.
Recent Work
Video
11.2.21-AI-Autonomy-Webinar
November 2, 2021
Conference Video
Duration: 122:24
Show more
Jason Nezvadovitz
Associate Technical Staff, MIT Lincoln Laboratory
Ramin Hanani
Machine Learning Scientist, MIT Computer Science and Artificial Intelligence Lab
Jack Bowers
Bizops Lead, MIT Driverless Teamk Bowers
Tim Kraska
Associate Professor of Electrical Engineering and Computer Science, MIT CSAIL
Co-Director, Data System and AI Lab (DSAIL@CSAIL)
Co-founder, Einblick Analytics (einblick.ai)
Luis Videgaray
Senior Lecturer, MIT Sloan School of Management
Director, MIT Artificial Intelligence Policy for the World Project
Related Faculty
Prof. Yonina Eldar
Visiting Professor of Electrical Engineering and Computer Science
Prof. David A Sontag
Hermann L F von Helmholtz Career Development Professor of Electrical Engineering and Computer Science
Prof. Michael Stonebraker
Adjunct Professor of Computer Science and Engineering, , Emeritus