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Manuel Blanco Valentín Email & Phone Number
PhD Candidate – Thesis Research: Neuromorphic AI and Edge Learning Architectures
at
Northwestern University
1 work email found
@hotmail.es
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Current company
Role
PhD Candidate – Thesis Research: Neuromorphic AI and Edge Learning Architectures
Location
San Jose, California, United States
Who is Manuel Blanco Valentín? Overview
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Quick answer
Manuel Blanco Valentín is listed as PhD Candidate – Thesis Research: Neuromorphic AI and Edge Learning Architectures at Northwestern University, based in San Jose, California, United States. AeroLeads shows a work email signal at hotmail.es and a matched LinkedIn profile for Manuel Blanco Valentín.
Manuel Blanco Valentín previously worked as Tempus SSV Graduate Intern at Cadence Design Systems and ASIC Design Engineer at Fermilab. Manuel Blanco Valentín holds Doctor Of Philosophy - Phd, Computer Engineering from Northwestern University.
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Email format at Northwestern University
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*@hotmail.es
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AeroLeads found 1 current-domain work email signal for Manuel Blanco Valentín. Compare company email patterns before reaching out.
Profile bio
About Manuel Blanco Valentín
Resilient, pro-active, professional, solution-oriented engineer with a strong experience in ASIC Design of AI/ML accelerators for high-energy physics; quantum computing, readout and control; cryogenics; radiation-resilient electronics; and smart-pixel readout imaging chips. Born coder. Very solid background and experience in deterministic and bayesian deep learning, and machine learning algorithms creation for both inference, as generation of data. Always open to connecting with others who share similar interests and am excited to see what opportunities and collaborations may arise through LinkedIn.
Listed skills include Industrial Automation, Electronics Design, Pcb Design, Labview, and 33 others.
Current workplace
Manuel Blanco Valentín's current company
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6 roles
Manuel Blanco Valentín work experience
A career timeline built from the work history available for this profile.
Tempus Ssv Graduate Intern
Asic Design Engineer
Design of digital systems for High-energy physics applications:- AI-embedded digital systems for quantum readout and control.- Automation of synthesis and implementation of machine learning models pipeline, from python to silicon.- Digital systems for control at cryogenic temperatures (4K)- Smart-silicon imaging electronics for particle tracking, detection and classification in high-energy physics experiments. - Radiation-resilient systems for hard-rad environments in particle accelerators.
Sep 2020 - Mar 2023
Electronics Design Consultant
Venturi Unmanned Technologies, Sl
Design and consulting services on distribution power systems, sensing & control systems and telemetry interfaces.
Aug 2016 - Feb 2022
Deep Learning Engineer
Research, design and implementation of advanced deep learning techniques for oil & gas reservoir data characterization and petrophysical properties extraction.- Convolutional workflows for seismic volumes processing and characterization (generation, regression and classification). – Convolutional workflows for borehole image data characterization (regression and classification).– Development of deep generational models for reservoir data generation and simulation.– Development of unsupervised and semi‐supervised deep models for automatic reservoir identification.– AI for petrophysical flux parameters estimation.– Uncertainty estimation and characterization with deep bayesian models.– Development of advanced processing tools for artifact removal in borehole images (Patented). – Development of imaging tool for multi‐frequency spectra fluid characterization.
Sep 2015 - Jul 2020
Deep Learning Specialist (International Collaboration)
Application of Deep learning and artificial intelligence methodologies for cosmic microwave background (CMB) signal decomposition, reconstruction and generation (PhD. Brian Nord, host) Characterisation of Dark energy survey silicon (DESI) CCDs for dark matter observation in space and discussion on application of artificial intelligence on-chip for smart sparse processing (PhD. Juan Estrada, host).
Aug 2019 - Nov 2019
4 education records
Manuel Blanco Valentín education
Doctor Of Philosophy - Phd, Computer Engineering
Northwestern University
Master Of Science - Ms, Computer Engineering
Northwestern University
Msc. Physics, Physics
Federal University Of Rio De Janeiro
Degree In Electronics Engineering (Spec. Robotics And Industrial Automation), Mechatronics, Robotics And Automation Engineering
Universitat Politècnica De Catalunya
FAQ
Frequently asked questions about Manuel Blanco Valentín
Quick answers generated from the profile data available on this page.
What company does Manuel Blanco Valentín work for?
Manuel Blanco Valentín works for Northwestern University.
What is Manuel Blanco Valentín's role at Northwestern University?
Manuel Blanco Valentín is listed as PhD Candidate – Thesis Research: Neuromorphic AI and Edge Learning Architectures at Northwestern University.
What is Manuel Blanco Valentín's email address?
AeroLeads has found 1 work email signal at @hotmail.es for Manuel Blanco Valentín at Northwestern University.
Where is Manuel Blanco Valentín based?
Manuel Blanco Valentín is based in San Jose, California, United States while working with Northwestern University.
What companies has Manuel Blanco Valentín worked for?
Manuel Blanco Valentín has worked for Northwestern University, Cadence Design Systems, Fermilab, Venturi Unmanned Technologies, Sl, and Petrobras.
How can I contact Manuel Blanco Valentín?
You can use AeroLeads to view verified contact signals for Manuel Blanco Valentín at Northwestern University, including work email, phone, and LinkedIn data when available.
What schools did Manuel Blanco Valentín attend?
Manuel Blanco Valentín holds Doctor Of Philosophy - Phd, Computer Engineering from Northwestern University.
What skills is Manuel Blanco Valentín known for?
Manuel Blanco Valentín is listed with skills including Industrial Automation, Electronics Design, Pcb Design, Labview, Autocad, Mcu Control, Robotics, and Mechatronics.
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