Roberto Riesco Alvarez, PhD

Experience

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  Teacher

  Sept 2010 - Jun 2015

  Private tutor
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  Universidad Autónoma de Madrid

  Jul 2013 - Jul 2015

  Research Assistant Intern
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  CEA - Commissariat à l'énergie atomique et aux énergies alternatives

  Feb 2016 - Aug 2016

  Research Assistant Intern

  - Surface chemical characterization of Si-anodes and SEI by XPS, TOF-SIMS, XDR and XRR- Operated and collected operando data from Li batteries at the European Synchrotron Radiation Facilities (ESRF)- Modeled multilayer data using Python the degradation of the electrolyte on the anodes during the operando experiments

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  CNRS - Centre national de la recherche scientifique

  Oct 2016 - Oct 2017

  Research Engineer

  - Developed a miniaturized microscopy from fundamental optical principles (in-line holography)- Fabricated microfluidic medical devices and cultured primary neurons- Reconstruction of large Field-of-View images with cellular resolution using Python + OpenCV: +100k neurons in one single snapshot

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  LAAS-CNRS

  Nov 2017 - May 2021

  - Fabricated 3D architectures to produce in-vitro models by additive manufacturing and molding- Adapted and modified instrumentation and systems to to exploit new capabilities- Extensive material characterization dedicated to bulk and 3D porous architectures- New materials, composites and manufacturing processes, compatible with cell culture, from commercial and in-house formulations- Prototype 3D microbioreactors to fill the gap in-vivo/in-vitro for clinical trials- 3D Dynamic culture human primary cells recover from hospital patients up to 3 weeks and characterized over-hanging biological structures on porous cavities- Participated in multiple interdisciplinary projects in cross-continental collaborations (3 EU project) Show less

  • Biochemical user representative at Characterization Platform Committee

    Jan 2019 - May 2021

  • Elected-chair at Laboratory Council

    Oct 2018 - May 2021

  • Graduate Researcher

    Nov 2017 - May 2021
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  Besi Netherlands B.V.

  Jan 2022 - Jun 2022

  Process Scientist

  - Process development of new materials/composite for molding systems for medical applications- Developing non-destructive multi-characterization techniques for defect analysis- Customer support project related with quality control, material processing and defect characterization

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  Nielsen

  Sept 2022 - now

  - Applied quantitative techniques such as Bayesian modeling and machine learning methods on large datasets for diverse media sources- Worked within a team to describe and evaluate the effect of 10+ marketing campaigns on key performance indicators for clients ranging from media agencies to large international brands and transforming the model results into actionable insights- Collaborated with the R&D team to contribute to the development of new features and automatized processes to improve the workflow- Evaluating statistical methodologies to improve the rigorousness and performance of our products and extend the understanding and documentation regarding the mathematical models Show less

  • Solution Manager

    Aug 2024 - now

  • Data Scientist

    Sept 2022 - Aug 2024