Tomas Colomer
PhD Candidate
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolTomas Colomer is a PhD candidate in Electrical Engineering and Computer Science at UC Irvine with nine years of experience researching communication-efficient distributed machine learning and optimization. He has applied theoretical insight to practical systems at Bell Labs, the Vector Institute, and NASA JPL, where he built SDR testbeds and algorithms for lunar and Mars communications. Tomas’s work spans federated learning, decentralized control, and quantization-aware training for large language models, and has been published at ICML, IEEE ICC and ITA. An awardee of the IEEE Signal Processing Scholarship and an ICML Early Career invitee, he also organizes local theorem-proving study groups in Lean, reflecting a rare blend of rigorous math, systems implementation, and community leadership.
9 years of coding experience
Bachelor's degree, Mathematics and Telecommunications Engineering, Bachelor's degree, Mathematics and Telecommunications Engineering at CFIS-UPCUPC Universitat Politècnica de CatalunyaUniversity of California, Irvine
Spanish, Catalan, English, French
Github Skills (13)
usrp10
driver10
uhd9
fpga9
hardware8
del4
javascript3
codi3
puzzle3
ruby3
toolbox3
packet3
java1
Programming languages (8)
Github contributions (5)
TomasOrtega/FLSim
Dec 2022 - Aug 2024
Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.
Contributions:6 PRs, 127 pushes, 1 branch in 1 year 8 months
apicasesuse-casesvisionagnostic
TomasOrtega/tomasortega.github.io
Oct 2018 - Nov 2022
Contributions:38 commits, 45 pushes, 2 branches in 4 years 2 months
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