About me

I am a postdoctoral researcher with over 10 years of experience in materials science, specializing in instrumentation and characterization. My work spans waste management, energy storage, and experimental sciences, blending advanced programming with hardware development to create innovative solutions. I am committed to addressing the climate and energy crises through innovative, engineering-based solutions.

Fluent in English, Spanish, and French, my diverse background reflects my interest to continuously learning across various scientific fields.

Research Highlights

Monitoring Liquid-Liquid Extraction with X-Ray Fluorescence

Published in:
“First online X-ray fluorescence characterization of liquid-liquid extraction in microfluidics”
DOI: 10.1002/nano.202100133

Measuring State of Charge in Vanadium Flow Batteries

Published in:
“A comprehensive guide for measuring total vanadium concentration and state of charge of vanadium electrolytes using UV–Visible spectroscopy”
DOI: 10.1016/j.electacta.2024.144003
Open Access Database & Calibration Algorithm

Controlling Nanogaps in Graphene Transistors

Published in:
“Controlled, Low-Temperature Nanogap Propagation in Graphene Using Femtosecond Laser Patterning”
DOI: 10.1002/smll.201801348

Sorting Electronic Waste Components with Machine Learning

Left: Photo and X-Ray absorbance images of capacitors. Right: Sorting prototype using machine learning.
Published in:
“Dismantling of printed circuit boards enabling electronic components sorting and their subsequent treatment open improved elemental sustainability opportunities.”
DOI: 10.3390/su131810357

Also in:
“Urban mining of unexploited spent critical metals from E-waste made possible using advanced sorting”
DOI: 10.1016/j.resconrec.2023.107033

Developing Python-Based Instrumentation Software for Experimental Research

Custom-built Python software automating control of over 10 instruments for simultaneous online/in-situ measurements.