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Daniel Morales Brotons is listed as Machine Learning Application Engineer @ NC at Neural Concept, a with 16 employees, based in Lausanne Metropolitan Area, Switzerland. AeroLeads shows a matched LinkedIn profile for Daniel Morales Brotons.
Daniel Morales Brotons previously worked as Machine Learning Application Engineer at Neural Concept and Machine Learning Researcher at Epfl (École Polytechnique Fédérale De Lausanne). Daniel Morales Brotons holds Academic Exchange Year, Data Science, 5.94/6 from École Polytechnique Fédérale De Lausanne.
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ML enthusiast. I enjoy solving problems using data.
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Lausanne, Vaud, Switzerland
• Cutting-edge 3D Deep Learning methods to solve complex engineering problems• Applied research to bring ML closer to practical use in real-world applications• Closely collaborating with top engineering firms to bring ML systems into production
Lausanne, Vaud, Switzerland
• Training dynamics of Deep Neural Networks, at Prof. Martin Jaggi's group.• Published "EMA of weights in Deep Learning: Dynamics and Benefits" at TMLR
Stockholm, Stockholm County, Sweden
• ML for automatic selection of streaming bitrate.• Analysis of listening patterns in low-consumption tracks, leading to an action plan for multi-million USD savings/year in storage costs.
Lausanne, Vaud, Switzerland
• MSc Thesis with Prof. Volkan Cevher on Semi-Supervised Domain Adaptation for Semantic Segmentation.• Semester project with Prof. Pascal Frossard: Graph ML, Graph Signal Processing
Boston, Massachusetts, United States
• Beyond-5G/6G Wireless Networks at the Ultra-Broadband Nanonetworking (UN) Laboratory.• Publications: "ADAPT: An Adaptive Directional Antenna Protocol for medium access control in Terahertz communication networks" (Elsevier Ad Hoc Networks, August 2021)
• Lead the development of an iOS/Android/Desktop App in the context of an IT Volunteering program at UPC in collaboration with local NGOs.
Barcelona Y Alrededores, España
• Data Analysis, Data Engineering, ML for forecasting, automation of processes. (Python, SQL, QlikView)
Other employees you can reach at neuralconcept.com. View company contacts for 16 employees →
Antonio Castro
Colleague at Neural ConceptZug, Switzerland
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FC
Francesco Carpanese, Ph.D
Colleague at Neural ConceptLausanne, Vaud, Switzerland
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Jakub Horsky
Colleague at Neural ConceptMunich, Bavaria, Germany
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Leïla Kany
Colleague at Neural ConceptLe Mont-Sur-Lausanne, Vaud, Switzerland
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Pierre Baqué
Colleague at Neural ConceptLausanne, Vaud, Switzerland
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Dmitry Pozharskiy
Colleague at Neural ConceptLausanne Metropolitan Area, Switzerland
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Luca Z.
Colleague at Neural ConceptLausanne, Vaud, Switzerland
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JH
Jakub Horský
Colleague at Neural ConceptHammersmith, England, United Kingdom
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Rh Neural Concept
Colleague at Neural ConceptLausanne Metropolitan Area, Switzerland
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Céline Cordey
Colleague at Neural ConceptLausanne Metropolitan Area, Switzerland
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• MSc Thesis @ LIONS group: "Semi-Supervised Domain Adaptation for Semantic Segmentation with Consistency Regularization" • Semester.
• Track on Information Engineering. Focus on Machine Learning and Data Science • Relevant courses: Artificial Neural Networks, Deep.
• Major in Network Systems • Thesis: "ADAPT: An Adaptive Directional Antenna Protocol for MAC in Terahertz Networks". Awarded with Honors.
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Daniel Morales Brotons works for Neural Concept.
Daniel Morales Brotons is listed as Machine Learning Application Engineer @ NC at Neural Concept.
Daniel Morales Brotons is based in Lausanne Metropolitan Area, Switzerland while working with Neural Concept.
Daniel Morales Brotons has worked for Neural Concept, Epfl (École Polytechnique Fédérale De Lausanne), Spotify, Northeastern University, and Barcelona Children'S Hospital Sant Joan De Déu.
Daniel Morales Brotons's colleagues at Neural Concept include Antonio Castro, Francesco Carpanese, Ph.D, Jakub Horsky, Leïla Kany, and Pierre Baqué.
You can use AeroLeads to view verified contact signals for Daniel Morales Brotons at Neural Concept, including work email, phone, and LinkedIn data when available.
Daniel Morales Brotons holds Academic Exchange Year, Data Science, 5.94/6 from École Polytechnique Fédérale De Lausanne.
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