David Karger
| David Karger | |
|---|---|
| Born | David Ron Karger May 1, 1967 |
| Fields |
Information Management Human-Computer Interaction Semantic Web PIM |
| Institutions |
Harvard University Stanford University MIT Xerox PARC |
| Alma mater |
Harvard University Stanford University |
| Thesis | Random Sampling in Graph Optimization Problems (1995) |
| Doctoral advisor | Rajeev Motwani |
| Doctoral students | Dennis Quan, Jr. Harr Chen Jonathan Feldman Bernhard Haeupler David Huynh Nicole Immorlica Matthew Levine Maria Minkoff Evdokia Nikolova Matthias (Jan) Ruhl Lawrence Shih Vineet Sinha Jaime Teevan Max Van Kleek |
| Known for |
Karger's algorithm Chord (peer-to-peer) Consistent hashing |
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Website people |
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David Ron Karger (born May 1, 1967) is a professor of computer science and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology.
Karger received a Bachelor of Arts degree from Harvard University and a PhD in computer science from Stanford University.
Karger's work in algorithms has focused on applications of randomization to optimization problems and led to significant progress on several core problems. He is responsible for Karger's algorithm, a Monte Carlo method to compute the minimum cut of a connected graph. Karger developed the fastest minimum spanning tree algorithm to date, with Philip Klein and Robert Tarjan. They found a linear time randomized algorithm based on a combination of Borůvka's algorithm and the reverse-delete algorithm. With Ion Stoica, Robert Morris, Frans Kaashoek, and Hari Balakrishnan, he also developed Chord, one of the four original distributed hash table protocols.
Karger has conducted research in the area of information retrieval and personal information management. This work has focused on new interfaces and algorithms for helping people sift effectively through large masses of information. While at Xerox PARC, he worked on the Scatter/Gather system, which hierarchically clustered a document collection and allow the user to gather clusters at different levels and rescatter them. More recently he has been researching retrieval systems that personalize themselves to best fit their individual users' needs and behaviors, leading the Haystack project. David Karger is also part of Confer: a tool for conference attendees used by many research conferences.
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