Xabier Morales Ferez
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Xabier Morales Ferez Email & Phone Number

Data Scientist R and D Lead at Sanofi
Location: San Sebastián, Basque Country, Spain 9 work roles 3 schools
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Current company
Role
Data Scientist R and D Lead
Location
San Sebastián, Basque Country, Spain
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Xabier Morales Ferez is listed as Data Scientist R and D Lead at Sanofi, a company with 88327 employees, based in San Sebastián, Basque Country, Spain. AeroLeads shows a matched LinkedIn profile for Xabier Morales Ferez.

Xabier Morales Ferez previously worked as Machine Learning Engineer at Multiverse Computing and PhD (Cum Laude) at Bcn-Medtech. Xabier Morales Ferez holds Master In Computational Biomedical Engineering, Biomedical/Medical Engineering from Universitat Pompeu Fabra - Barcelona.

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Sanofi

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About Xabier Morales Ferez

PhD in computational cardiology at Universitat Pompeu Fabra. I leveraged 4D flow MRI to provide a comprehensive view of LA hemodynamics, particularly focusing on non-invasive markers for diastolic dysfunction. Additionally, I delve into computational fluid dynamics (CFD) to optimize the placement of left atrial appendage occluders (LAAO) for atrial fibrillation patients, making CFD simulations patient-specific. My long-term goal is to equip clinicians with real-time insights during surgery planning through neural network surrogates, harnessing geometric deep learning and physics-informed neural networks for enhanced performance in cardiac data analysis.

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Sanofi
Sanofi
Data Scientist R and D Lead
Barcelona, CT, ES
Website
Employees
88327
AeroLeads page
9 roles

Xabier Morales Ferez work experience

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Data Scientist R And D Lead

Barcelona, CT, ES

Machine Learning Engineer

Current

San Sebastián, Basque Country, Spain

May 2024 - Present

Phd (Cum Laude)

Barcelona, Catalunya

  • Conducted advanced research on left atrial hemodynamics, focusing on implementing 4D Flow MRI, computational fluid dynamics, and deep learning to enhance cardiovascular disease prognosis.
  • Derived pulsed‑wave Doppler‑like velocity spectrograms from 4D Flow MRI to improve assessments of left ventricular diastolic function, particularly in cases where standard echocardiographic evaluation is challenging.
  • Developed graph‑based and physics‑informed neural network models allowing… Show more
  • Developed graph‑based and physics‑informed neural network models allowing real‑time prediction of patient‑specific hemodynamics to optimize left atrial occlusion device placement and reduce the risk of postoperative.
  • Presented and published research findings at multiple international conferences and high‑impact medical imaging and cardiovascular journals. Show less
Oct 2019 - Apr 2024

Ingeniero - Tesis De Master

Barcelona Y Alrededores, España

Desarrollo de una arquitectura de deep learning para evaluar el riesgo de trombogénesis en el apéndice de la auricula izquierda

Sep 2018 - Sep 2019

Research Stay - Phd

Auckland, New Zealand

  • Developed a robust, open‑source computational framework for analyzing multicenter 4D Flow MRI data of the left atrium, enabling detailed qualitative and quantitative assessments of complex hemodynamic parameters.
  • Applied deep learning methods for denoising and super‑resolution of low‑field strength 4D Flow MRI data, enhancing image quality and improving accuracy in hemodynamic analysis.
Nov 2022 - Mar 2023

Internship In Engineering

Donostia-San Sebastian, Gipuzkoa

Development of a blockchain platform for EHR (Electronic Health Records) exchange based on Hyperledger Fabric by Linux

Jun 2018 - Sep 2018

Engineer - Bachelor'S Thesis Student

Donostia-San Sebastian, Gipuzkoa

As a Bachelor's Thesis student, I worked in the Bioinformatics department in the following fields:- Transcriptomics- RNA deconvolution identifiability- Optimization of the primer lengths for RNA-seq experiments

Feb 2018 - Sep 2018

Internship In Engineering

Donostia-San Sebastian, Gipuzkoa

Nanophotonics, optimization of a custom-made SPR (Surface Plasmon Resonance) platform

Jun 2017 - Aug 2017

Internship

Donostia-San Sebastian, Gipuzkoa

Predictive models of RNA splicing events

Feb 2016 - May 2016
Team & coworkers

Colleagues at Sanofi

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3 education records

Xabier Morales Ferez education

FAQ

Frequently asked questions about Xabier Morales Ferez

Quick answers generated from the profile data available on this page.

What company does Xabier Morales Ferez work for?

Xabier Morales Ferez works for Sanofi.

What is Xabier Morales Ferez's role at Sanofi?

Xabier Morales Ferez is listed as Data Scientist R and D Lead at Sanofi.

Where is Xabier Morales Ferez based?

Xabier Morales Ferez is based in San Sebastián, Basque Country, Spain while working with Sanofi.

What companies has Xabier Morales Ferez worked for?

Xabier Morales Ferez has worked for Sanofi, Multiverse Computing, Bcn-Medtech, Auckland Bioengineering Institute, and Vicomtech.

Who are Xabier Morales Ferez's colleagues at Sanofi?

Xabier Morales Ferez's colleagues at Sanofi include Nathalie Sifres Sanofie Aventis, Monica De Andreis, Jonas Uyanik, Noureddine Ziane, and Iwona Lachowska.

How can I contact Xabier Morales Ferez?

You can use AeroLeads to view verified contact signals for Xabier Morales Ferez at Sanofi, including work email, phone, and LinkedIn data when available.

What schools did Xabier Morales Ferez attend?

Xabier Morales Ferez holds Master In Computational Biomedical Engineering, Biomedical/Medical Engineering from Universitat Pompeu Fabra - Barcelona.

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