Curriculum Vitae

CV for download:  

Background in computational and theoretical physics, and mathematics. I carry extensive experience in software development, with a deep knowledge on algorithms, abstract data structures, hybrid parallel programming and high-performance computing. I'm fascinated by the changes of paradigm that machine learning algorithms pose against traditional programming, as well as new forms of computing such as quantum computing.

As a scientist at heart, my curiosity led me down different paths. Much of my career has been devoted to theoretical modeling and development of numerical methods for multiscale simulations applied to nanotechnology. After a long period dedicated to scientific software development, I worked on a variety of problems, from computer vision and parallel imaging processing up to unsupervised learning techniques for classifying images according to geolocalization data. Currently I'm a parallel programming research engineer at Huawei's Paris Research Center, working on the optimization and the acceleration of deep learning models on the MindSpore AI framework.

I'm always very enthusiastic about tackling problems out of my comfort zone and working out challenging problems. I have good interpersonal skills and I appreciate working with people from different backgrounds and to exchange knowledge. I've been collaborating with theoretical and experimental groups worldwide (Spain, Poland, France, Brazil, Luxembourg, US, Denmark and China).

Areas of Expertise

Programming languages

Advanced Python, C++, C, Fortran, shell script
Intermediate R, Octave/MATLAB
Basic Java, Ruby, Lua

The description of some relevant open source codes can be found here .

Operating systems

Linux, Windows and MacOS

Key competencies

  • Research, Computational Physics, Mathematical Modeling, Data Analysis
  • Probability Theory, Statistics, Linear Algebra
  • Algorithms, Abstract Data Structures, Parallel Computing, HPC
  • Machine Learning Techniques, Deep Learning, Data Science, Data Analytics
  • Communication Skills, Problem-Solving, Teamwork, Teaching/Training Skills, Goal-Oriented

Work Experience

Research Engineer

2023-present Vicomtech, Spain
Research Engineer at the Connected & Cooperative Automated Systems Department.

Parallel Programming Research Engineer

2021-2023 Huawei Technologies, France
Parallel computing / Accelerator programming research engineer at Paris Research Center.
Key accomplishments:
  • Headed the full refactoring of the new tiling module (modularization, better integration and clean code techniques) integrated into MindSpore-AKG
  • Implemented the intermediate representation IR parsing
  • Implemented the scheduler information extraction
  • Several performance improvements
  • Implemented test automation for exhaustive testing
  • Benchmark evaluation on single fused operators
  • Benchmark on end-to-end deep neural networks model training, such as:
    • Transformer
    • GPT-3
    • Bert
    • Wide and Deep
    • DeepFM
    • ResNet50
    • YOLO-v3 Darknet-53
    • MindSponge Protein Relaxation

Software Engineer

2020-2021 Alerion, Spain
Computer vision, parallel imaging processing in embedded GPU, unsupervised learning for image classification with geolocalization data.
Key accomplishments:
  • Implemented two modules for parallel image processing, using FastVideo (proprietary library) and NVIDIA NPP libraries (abstraction layer over CUDA):
    • Image processing on NVIDIA Jetson embedded in inspection drones, equipped with a 50mpx full frame camera that takes pictures in raw format at 20 fps
    • Raw images processed on the fly (debayering, white balance, color correction, bad pixel correction, gamma correction, jpeg conversion) using the NVIDIA card's GPU
  • Responsible for the in-flight metadata acquisition.
  • Developed a clustering algorithm to automatically separate the acquired images according to the inspected blades parts, based on geo-localization data.
  • Implemented a blade stitching, that is, a 2D reconstruction of the blades with the acquired images and their metadata, including geo-localization and sensors data (such as LiDAR scan for the distance from the camera to the blade).

Postdoctoral researcher

2017-2020 Donostia International Physics Center - DIPC, Spain
Electronic structure and quantum transport in graphene-based nanostructures and networks.
funding: DIPC Foundation
2015-2017 Centro de Física de Materiales - CFM, Spain
Development of tools and theoretical models for studying electron transport in nanoscale devices.
funding: European Commission, 7o Framework Programme, ICT Collaborative project

Scientific training

2006-2007 CERN - European Organization for Nuclear Research, Switzerland, ALICE experiment.
Development on the AliRoot framework for simulation at the ALICE Off-line group (950h).
funding: European Commission, programme América Latina - Formación Académica (ALFA)
2004-2005 Universidade de São Paulo, Brazil, Coherent Manipulation of Atoms and Light Laboratory.
Development of a magneto-optical trap experiment.
funding: National Council of Technological and Scientific Development (CNPq/PIBIC)

Supervision

2019 Donostia International Physics Center - DIPC, Spain, Supervisor.
Electronic properties and tight-binding parametrization of twisted bi-layer graphene.
student: Itsaso Blanco Gonzalez, University College London, Faculty of Maths and Physical Sciences.
2019 Donostia International Physics Center - DIPC, Spain, Co-supervisor.
Simulations of wave package dynamics in graphene-based materials.
student: Asier Rodríguez, Universidad del País Vasco, Departamento de Física.
2018 Donostia International Physics Center - DIPC, Spain, Supervisor.
Code development for evaluating bond order of graphene-based structures via graph theory.
student: Amaia Juaristi Arrizabalaga, Universidad del País Vasco, Departamento de Matemáticas.
2018 Donostia International Physics Center - DIPC, Spain, Co-supervisor.
Code development for wavefunction propagation on low-dimensional nanoscale devices.
student: Biel Martinez Diaz, Universitat de Barcelona, Facultat de Química.

Teaching

2004-2005 Universidade de São Paulo, Brazil.
Teaching assistant of Experimental Physics III and IV.

Volunteer

2008 Educafro, Cohab de Taipas and Cohab Brasilândia, Brazil.
Teacher of physics and mathematics.
2001 A. A. Criança, Associação de Apoio às Meninas e Meninos da Região Sé, Brazil.
Assistance to children and young people living on the streets.

Technical works

2019 Universidade Federal do ABC - UFABC, Brazil.
Setup and installation of environment for scientific computing on the cluster mildred.
2016 ESPEEM, Luxembourg.
Configuration and installation of environment for scientific computing on Google Cloud Platform.
2016 INSPIRE, Johannes Gutenberg-Universitat Mainz, Germany.
Scientific computing environment setup/installation on the workstations iph-bigbang and quasar.
2015 Centro de Física de Materiales - CFM, Spain.
Setup and installation of environment for scientific computing on the cluster oberon.
2015 Donostia International Physics Center - DIPC, Spain.
Scientific computing environment setup and installation on the clusters atlas, brontes and hemera.

Education

2008-2014 Ph.D. in Physics, Universidade de São Paulo, Brazil.  
Title: Study of the Influence of Localized Vibrational Modes in Charge Transport Properties at Nanoscale Systems
Supervisors: Prof. Antônio José Roque da Silva and Prof. Alexandre Reily Rocha
Description: The main objective of the thesis was to study the charge transport properties at the nanoscale considering the effect of inelastic scattering of electrons by interacting with phonons. The developed work can be seen as an implementation project of different integrated tools for this purpose. Different approaches were used resulting in different computational implementations, allowing the simulation of inelastic transport by first principles, including disordered systems.
2002-2007 Bachelor in Physics, Universidade de São Paulo, Brazil.

Complementary Education

2009-2014 Bachelor in Applied and Computational Mathematics, Universidade de São Paulo, Brazil.
Concluded 65% of the courses (1350h).

Certifications

  1. IBM Quantum Challenge Fall 2022 Achievement - Advanced, IBM (2022)
  2. Deep Learning Specialization, deeplearning.ai (2019)
  3. Neural Networks and Deep Learning, deeplearning.ai (2019)
  4. Structuring Machine Learning Projects, deeplearning.ai (2019)
  5. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, deeplearning.ai (2019)
  6. Convolutional Neural Networks, deeplearning.ai (2019)
  7. Sequence Models, deeplearning.ai (2019)
  8. Machine-Learning, Stanford University (2018)

Scientific Production

Publications

Author of 17 publications in high-quality peer-reviewed journals, 11 as first theory author, with average impact factor 8.64 and all in Q1. The full publication list can be found here .

Citation metrics:      

That's my citation map according to Publons (on 2022.03.04):

Commission of trust

Reviewer for scientific journals:

Conferences, Scientific Meetings and Workshops

Attended and presented work in scientific conferences/workshops worldwide (Germany, Hong Kong, USA, Spain, Austria and Brazil), whose complete list can be found at my lattes curriculum.

Slides and posters I've presented elsewhere can be found here .

Organization of International Congresses

2016 Towards reality in modelling of molecular electronics (TRMME), June 13-17, Spain.
http://trmme.dipc.org

Research projects and grants

2018-2020 A Novel Platform for Electronics and Quantum Electron Optics Based on Graphene Nanostructures (GRANAS)
grant: Spanish Ministry of Economy, Industry and Competitiveness
2010-2014 Study of the Influence of Localized Vibrational Modes in Charge Transport Properties at Nanoscale Systems
grant: National Council of Technological and Scientific Development - CNPq
2006-2007 CERN (European Organization for Nuclear Research) at ALICE (A Large Ion Collider Experiment)
grant: HELEN program (High Energy Latin American Network)
2004-2005 Vacuum Quantum Noise Squeezing by Polarization Self-rotation
grant: National Council of Technological and Scientific Development - CNPq

Languages

Portuguese Mother Tongue
English Fluent Understand well, speak well, read well, write well
Spanish Advanced Understand well, speak well, read well, write reasonably
French Intermediate Understand well, speak reasonably, read well, write reasonably