Borja Gálvez
Market Structure Analyst at Citadel Securities
Stockholm, Stockholm County, Ireland
Summary
👤
Senior🎓
Top SchoolBorja Gálvez is a Market Structure Analyst and Machine Learning PhD candidate with 10 years of experience bridging academic research and industry practice in Stockholm. He brings deep mathematical intuition for probabilistic modeling, graphical models and representation learning, cultivated through multiple TA roles at KTH and research internships at Apple, Cisco and Tobii. At Citadel Securities he applies that theory to market microstructure problems, while his background includes hands-on computer vision and real-time embedded ML from industry internships. Comfortable moving between theory and production, he has a track record of translating advanced algorithms into efficient implementations for constrained hardware and high-stakes environments. Colleagues value his curiosity and collaborative approach to learning across research and engineering teams.
10 years of coding experience
2 years of employment as a software developer
High School Science and Technology, High School Science and Technology at INS Carles Rahola i LlorençDoctor of Philosophy - PhD Machine Learning , Doctor of Philosophy - PhD Machine Learning at KTH Royal Institute of TechnologyBachelor of Science (BSc) Telecommunications Engineering, Bachelor of Science (BSc) Telecommunications Engineering at UPC - ETSETB TelecomBCN
Spanish, Catalan, English, Swedish
Github Skills (11)
representation-learning10
compression-algorithm8
pytorch7
deep-learning6
svm4
sparse4
regression4
classification4
machine-learning3
modeling3
rvm2
Programming languages (2)
Github contributions (5)
burklight/GANcedonia
Mar 2018 - May 2018
Contributions:45 commits, 37 pushes, 2 branches in 2 months
burklight/nonlinear-IB-PyTorch
Apr 2019 - Dec 2019
Pytorch Implementation of the Nonlinear Information Bottleneck
Contributions:31 commits, 20 pushes, 1 branch in 8 months
compression-algorithmdeep-learninginformation-bottleneckinformation-bottleneck-theorypytorch
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