Matt Der

Computer Science & Engineering
University of California, San Diego
Office: EBU3b 3242
Email: mfder (at) cs ucsd edu

frisbee on the beach ready for the first soccer game of my life!

About Me

I am a fourth year PhD student with involvement spanning the AI, Systems & Networking, and Security groups. My advisors are Lawrence Saul, Geoff Voelker, and Stefan Savage. My research focuses on machine learning and applications to security.

I received an MS in computer science in March 2013. Yay!

In the summers of 2011 and 2012, I interned at Google at the San Francisco office. I worked in Internal Privacy under Ian Roxborough.

In May 2010 I graduated with a BS in computer science and mathematics from the University of Richmond, where I had the fine opportunity of working with Jim Davis and Barry Lawson, the former a top-drawer squash and bridge player, the latter a wizard on the mandolin. In Spring 2009 I studied abroad at Macquarie University and had the time of my life in Sydney, Australia (+ New Zealand + Fiji).

Publications

D. Kim, M. F. Der, L. K. Saul. A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data. AISTATS 2014, Reykjavik, Iceland. [paper] [supplement] [project]

M. F. Der, L. K. Saul. Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning. NIPS 2012, Lake Tahoe, NV. [paper] [poster]

C. Bodea, C. Copos, M. Der, D. O'Neal, J. A. Davis. Shared Autocorrelation Property of Sequences. IEEE Transactions on Information Theory, Vol. 57, No. 6, 3805-3809, June 2011. [paper]

Personal

Last modified: 03.03.2014