Prof. Tim Kraska

Associate Professor in Electrical Engineering and Computer Science

Primary DLC

Department of Electrical Engineering and Computer Science

MIT Room: 32-G914

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, 2021Conference Video Duration: 122:24
    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