Lucas Ventura
PHD Graduate Student
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolLucas Ventura is a PhD candidate in computer science based in Paris specializing in learning from unlabeled videos, with eight years of research experience spanning Inria, ENPC, MIT CSAIL and industry internships at Telefonica and Adobe. He brings deep expertise in signal processing, radio communications and applied deep learning for computer vision, grounded in telecommunications engineering training from UPC and an exchange at Purdue. His work blends theoretical rigor with practical implementation—evident from contributions ranging from GNSS-SDR during Google Summer of Code to multimodal embedding research—making him adept at turning noisy, real-world sensor data into usable representations. Supervised by leading researchers (Gül Varol, Cordelia Schmid, Antonio Torralba), he navigates interdisciplinary projects that sit at the intersection of vision, signals and machine learning.
8 years of coding experience
Master's degree, Telecommunications Engineering, Master's degree, Telecommunications Engineering at UPC - ETSETB TelecomBCNDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at École des Ponts ParisTechElectrical and Computer Engineering (exchange programme), Electrical and Computer Engineering (exchange programme) at Purdue UniversityUPC Universitat Politècnica de Catalunya
Catalan, Spanish, English, French
Github Skills (37)
galileo10
langchain10
signal-processing10
gps10
clip10
rtl-sdr10
software-defined-radio10
knn10
gnuradio10
pytorch9
llm9
python9
machine-learning9
llama9
ai9
Programming languages (4)
Github contributions (5)
lucasventurar/gnss-sdr
May 2019 - Sep 2019
GNSS-SDR, an open source GNSS software defined receiver
Contributions:71 pushes, 4 branches in 4 months
cdrvmsdefinedsdl2receiver
lucas-ventura/CoVR
Aug 2023 - Mar 2025
Contributions:45 pushes, 3 branches, 41 comments in 1 year 7 months
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