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

A Parallelizable Acceleration Framework for Packing Linear Programs
Palma London, Shai Vardi, Adam Wierman, Hanling Yi.
Association for the Advancement of Artificial Intelligence (AAAI) 2018.

Local Computation Algorithms and Distributed Optimization
Palma London, Niangjun Chen, Shai Vardi, Adam Wierman.
Under submission.

Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market
Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman.
ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016.

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.

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.

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Education

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

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Honors / Awards

Amazon Fellowship in Artificial Intelligence, 2018 - 2019
NSF Graduate Research Fellowship Program (GRFP), 2014 - 2017
Outstanding Undergraduate Research Assistant Award, UW EE, 2013
Mary Gates Research Scholarship, 2013

Here's a link to my CV.

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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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