Summary

Graphene specialist with 8+ years of hands-on R&D experience.

PhD in Engineering, Electronic Engineer and graphene specialist translating graphene-based materials into device-oriented technologies. Experience covers CVD graphene synthesis, 2D material transfer, cleanroom microfabrication, graphene/device integration, advanced microscopy/spectroscopy, Python/data analysis and technical reporting.

CVD graphene2D materialsCleanroom fabricationAdvanced characterizationProcess developmentDevice integration

Core value for graphene industry

  • Full graphene value chain: CVD growth, transfer, heterostructure assembly, cleanroom patterning, device integration, characterization, data interpretation and reporting.
  • Outcome-oriented R&D: links process variables, defects, contamination, interfaces and microscopy/spectroscopy to device-relevant process problems.
  • Measurable track record: contributions to MELON and ULTIMATE-I, 3 competitive ELECMI facility accesses and 10 graphene/materials science outputs.

Work and research experience

INMA (CSIC/UNIZAR) — Postdoctoral Research Fellow / Early Researcher, H2020 MSCA-RISE

Sep. 2024 — Jul. 2026 · Zaragoza, Spain

  • Delivered graphene/device integration tasks for ULTIMATE-I and MELON with graphene-based nanomaterials and heterostructures combining MoS2 and YIG.
  • Worked on 2D material transfer, lithography-based device preparation, sputtering, ion milling and Hall-bar/GFET-oriented workflows.
  • Secured 3 ELECMI grants in 2025/2026: TEM-EELS on TBLG at CCiT-UB and two UHV low-temperature JT-STM/STS campaigns at LMA Zaragoza.
  • Combined Raman, SEM, STM/STS, HRTEM, STEM-HAADF, EELS, XPS, UV-Vis and FTIR to connect structure, defects and interfaces with material quality.

INIFTA (CONICET-UNLP) — Doctoral Research Fellow, Graphene-Derived Nanomaterials & Devices

Apr. 2018 — Aug. 2024 · Buenos Aires, Argentina

  • Designed, assembled, maintained and operated custom CVD equipment for graphene growth on Cu foils and Ni foams.
  • Used 2D/3D graphene as a platform for TBLG, GQDs, CQDs and graphene/metal nanohybrids.
  • Developed TBLG synthesis/transfer protocols using CVD graphene on Cu and substrate chemical attack.
  • Built TDDFT/DFT/Python workflows to simulate GQD absorption/emission and guide material design.

Technical skills

Graphene & 2D

CVD graphene, TBLG, GQDs, CQDs, graphene foams, vdW heterostructures, GQD/Au/Pt nanohybrids, graphene/YIG and MoS2-related integration.

Process & fab

CVD growth, wet transfer, substrate chemical attack, cleanroom processing, direct-write photolithography, sputtering, ion milling, Hall-bar/GFET layouts.

Characterization

Raman, SEM, AFM, HRTEM, STEM-HAADF, EELS, STM/STS, XPS, UV-Vis, FTIR, electrochemical and optoelectronic measurements, quality/failure analysis.

Data & simulation

Python, MATLAB, C/C++, ORCA, Quantum ESPRESSO, TDDFT/DFT, AI-assisted simulation, data cleaning, plotting and technical reporting.

Projects, funding and impact

  • ULTIMATE-I H2020 MSCA-RISE: graphene-based quantum materials, device integration and advanced sensing systems.
  • MELON H2020 MSCA-RISE: ultra-clean graphene layers and hybrid Au/Pt-graphene nanostructures for sensing/electrochemical platforms.
  • ELECMI campaigns: TEM-EELS using NEOARM cFEG TEM at CCiT-UB and low-temperature UHV JT-STM/STS at LMA Zaragoza.
  • Research output: 10 research outputs, including 9 peer-reviewed papers and 1 education-oriented preprint; 3 first-author graphene papers; 101 citations, h-index 7 and i10-index 5 in the Apr. 2026 CVN/Google Scholar record.
  • Presented TBLG/graphene results at Graphene2025, E-MRS 2025, LT30, GEFES 2025 and AMatS 2025.

Education, certifications and languages

  • Doctorate in Engineering, Materials Engineering — Universidad Nacional de La Plata, Argentina. PhD awarded Jul. 2024.
  • Electronic Engineering — Universidad Nacional de La Plata, Argentina, 2017.
  • Electronic Technician — Technical High School EPT No. 748, Trelew, Argentina, 2011.
  • Google Data Analytics; Python for Data Science, AI & Development; R Data Analysis; Machine Learning Specialization; AI-assisted simulation and scientific software workflows.
  • Spanish native; English professional working proficiency.