Palma London

Ph.D. Student
Caltech
Computer Science

Office: Annenberg 237
plondon (at) caltech (dot) edu


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I am a Ph.D. student in the Computer Science department at Caltech, where I am advised by Adam Wierman. Prior to joining Caltech, I received a double B.S. degree in Electrical Engineering and Math at the University of Washington, where I worked with Maryam Fazel. My research interests are generally in convex optimization, distributed algorithms, and machine learning. Here's a link to my CV.

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Publications

Local Computation Algorithms and Distributed Optimization
P. London, N. Chen, S. Vardi, A. Wierman.
Under submission.

Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market
X. Ren, P. London, J. Ziani, A. Wierman. Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science. [arXiv]

Learning Graphical Models with Hubs
K.M. Tan, P. London, K. Mohan, S.-I. Lee, M. Fazel, D. Witten.
Journal of Machine Learning Research (JMLR), 15(Oct):3297-3331, 2014. [arXiv]

Node-Based Learning of Multiple Gaussian Graphical Models
K. Mohan, P. London, M. Fazel, D. Witten, S.-I. Lee
Journal of Machine Learning Research (JMLR), 15(Feb):445-488, 2014. [arXiv]

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Education

B.S.E.E.   Electrical Engineering,
B.S.           Mathematics, University of Washington, 2014
Currently: Ph.D. Computer Science student at Caltech

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Honors / Awards

NSF Graduate Research Fellowship Program (GRFP)
Outstanding Undergraduate Research Assistant Award, UW EE, 2013
Mary Gates Research Scholarship, 2013

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Artwork and Music

Here's a link to some of my artwork. I play violin, piano, viola, alto sax, and guitar.

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