I am currently an EPSRC Postdoctoral Research Fellow at the University of Cambridge. I am also a visiting researcher at the Gatsby Computational Neuroscience Unit.
In general my research interests lie in the area of machine learning. More specifically, I am interested in Bayesian statistics, clustering, semi-supervised learning and kernel methods. I have also done research which applies machine learning techniques to problems in computational biology, computer security, and computer vision.
I am a researcher in the Text Mining, Search and Navigation group. I am also affiliated with the Machine Learning and Applied Statistics and the Natural Language Processing groups.
Contact Information
Assistant Professor
Department of Computer Science and Engineering
University of Washington
I got my PhD in CS from Berkeley, advised by Christos Papadimitriou.
After that, I did a postdoc in Avi's group at the Institute for Advanced Study in Princeton.
Research interests:
Algorithms, complexity, optimization.
High-dimensional geometry, geometry of discrete metric spaces, spectral graph theory.
Applications of geometry and analysis in theoretical computer science.
Welcome to the SIGACT Theoretical Computer Science Genealogy, which lists information on earned doctoral degrees (adviser, university, and year) of theoretical computer scientists worldwide.
WhatToSee
I have a routine problem that sometimes paper titles are not enough to tell me what papers to read in recent conferences, and I often do not have time to read abstracts fully. This collection of scripts is designed to help alleviate the problem. Essentially, what it will do is compare what papers you like to cite with what new papers are citing. High overlap means the paper is probably relevant to you. Sure there are counter-examples, but overall I have found it useful (eg., it has suggested papers to me that are interesting that I would otherwise have missed). Of course, you should also read through titles since that is a somewhat orthogonal source of information.
Here is how to use the system. You upload your personal bibtex file and have the system compare it to a known conference index; it will then present a list of papers, sorted by relevance. If you want to compare to a conference that is not yet indexed, you need to request that indexing take place. This takes about 30 seconds per paper, so you will probably have to be patient.
r. Kurt Bollacker is a computer scientist with a research background in the areas of machine learning, digital libraries, semantic networks, and electro-cardiographic modeling. He received a Ph.D. in Computer Engineering from The University Of Texas At Austin, was co-creator of the Citeseer research tool as a visiting researcher at the NEC Research Institute, was the technical director of the Internet Archive, and a biomedical research engineer at the Duke University Medical Center. He is currently pursuing research into long term digital archiving as the Digital Research Director at the Long Now Foundation, and is a scientist at Metaweb Technologies.
Centrum voor Wiskunde en Informatica (CWI) is the national research institute for mathematics and computer science in the Netherlands.
CWI has presented its strategy for the period till 2012. The institute will concentrate the efforts on four broad, societally relevant themes:
Earth and life sciences The data explosion
Societal logistics Software as service