Curriculum Vitae

• Resume
• Academic CV

Education

• Ph.D. in Applied Mathematics, Oct. 2012 - Mar. 2016,
  Université Pierre et Marie Curie and Inria, Paris, France 🇫🇷.
  Thesis defended on 29th March 2016 (mention très honorable).
  You can get the manuscript here.

• Master program in Scientific Computing (Erasmus Exchange Program), 2011 - 2012,
  Utrecht University, Utrecht, The Netherlands 🇳🇱.

• B.S. and M.S in Mathematical Sciences, 2007 - 2012,
  University of the Basque Country, Bilbao, Spain 🇪🇸.
  Premio extraordinario de carrera

Work experience

• Senior Machine Learning Researcher, Jul. 2020 - Today
  Computational Engineering, Lawrence Livermore National Laboratory, Livermore, US 🇺🇸.

• PostDoctoral fellow, Jul. 2018 - Jul. 2020
  Biochemical and Biophysical Systems Group, Lawrence Livermore National Laboratory, Livermore, US 🇺🇸.
  Topic: Machine Learning for Heart Electrophysiology

• PostDoctoral fellow, Apr. 2016 - Apr. 2018
  MOX - Dipartimento di Matematica, Politecnico di Milano, Milano, Italy 🇮🇹.
  Topic: Computational Heart Electrophysiology

• Research Internship, Jun. 2011- Jul. 2011
  Basque Center for Applied Mathematics, Bilbao, Spain 🇪🇸.
  Topic: Burgers equation Get the report here.

Academic Service

• Reviewer

- International Journal for Numerical Methods in Biomedical Engineering
- Artificial Intelligence Review
- Neural Computing and Applications
- Neural Information Processing Systems
- International Conference on Learning Representations
- International Conference on Autonomous Agents and Multiagent Systems
- Machine Learning

• Editorial Work

- Guest Associate Editor in Coronary Artery Disease in Frontiers in Cardiovascular Medicine
- Editorial board member of the American Journal of Computer Science and Technology

Skills

• Programming Skills
  • Languages: C/C++, Python, Wolfram Language
  • Parallel frameworks: MPI, PETSc, Trilinos.
  • Version Control: Git, Svn, GitHub, Bitbucket.
  • Code Development:
    
    • ProtLib-Designer A library for the design of protein libraries.
      
    • DSO A deep learning framework for symbolic optimization tasks.
      
    • Cardioid Cardiac multiscale simulation suite
    • FELiScE Finite Elements for LIfe SCiences and Engineering
      
    • LifeV A parallel finite element library for the solution of PDEs
      
• Scientific software
  • PyTorch (some personal examples can be found here)
  • TensorFlow
  • Scikit-learn, Pandas, Seaborn,
  • Matlab, Mathematica (some personal examples here),
  • FreeFem++, Gmsh, Vmtk, ParaView, Ensight.
    

Languages

• English 🇺🇸 : Proficient.
  
• Spanish 🇪🇸 : Mother tongue.
  
• French 🇫🇷 : Fluent.
  
• Italian 🇮🇹 : Fluent.
  
• Basque 󠁥: Basic.