Eugene Ie I completed my Ph.D. in June 2007. I am now at Google. General Information My current research deals with protein sequence motifs. My advisor is Yoav Freund. Before transferring to UCSD, I was a PhD student at Columbia University where I was co-advised by Christina Leslie and Yoav Freund. I received my BSc and MSc from Columbia University. Publications Jason Weston, Christina Leslie, Eugene Ie and William Stafford Noble. "Semi-Supervised Protein Classification using Cluster Kernels". Book Chapter for "Semi-Supervised Learning", MIT Press (Editors: O. Chapelle, B. Scholkopf and A. Zien). Eugene Ie, Jason Weston, William Stafford Noble and Christina Leslie. Multi-class protein fold recognition using adaptive codes. International Conference on Machine Learning, August 7-11, 2005, Bonn, Germany. Jason Weston, Christina Leslie, Eugene Ie, Dengyong Zhou, Andre Elisseeff and William Stafford Noble. Semi-supervised protein classification using cluster kernels. Bioinformatics, 2005. Rui Kuang, Eugene Ie, Ke Wang, Kai Wang, Mahira Siddiqi, Yoav Freund and Christina Leslie. Profile-based string kernels for remote homology detection and motif extraction. Journal of Bioinformatics and Computational Biology, 2005. Rui Kuang, Eugene Ie, Ke Wang, Kai Wang, Mahira Siddiqi, Yoav Freund and Christina Leslie. Profile-based string kernels for remote homology detection and motif extraction. IEEE Proceedings of the Computational Systems Bioinformatics Conference, August 2004, Stanford, CA. Talks Multi-class protein fold recognition using adaptive codes, Bonn, Germany, August 2005. Protein Classification and Motif Discovery using SVMs, NASA Jet Propulsion Laboratory, Pasadena, CA, October 2003. Code String Kernels Coordinates Office: 4240 Computer Science & Engineering Department of Computer Science and Engineering University of California, San Diego 9500 Gilman Drive, Mail Code 0404 La Jolla, CA 92093-0404