Palma London

Ph.D. Student
Caltech
Computer Science

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


I am a third year Ph.D. student in the Computer Science department at Caltech, working with Professor Adam Wierman. Prior to joining Caltech, I earned a BS in EE and a BS in Math at the University of Washington, where I worked with Professor Maryam Fazel. My work is at the intersection of Electrical Engineering, Computer Science and mathematics, with a focus on convex optimization and machine learning. Here's a link to my CV.

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Preprints

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

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Publications

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, D. Witten, S.-I. Lee, M. Fazel.
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, Winter and Spring 2013
University of Washington: Dean's List: 2009 - 2013

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