Home » ESR7 – Estefanía Lozano

ESR7 – Estefanía Lozano

 

 

 

 

 

Project 7: Defined EV-subset analysis in blood by flow cytometry

Host Institution: Utrecht University, Netherlands

Biography

Estefanía always had a huge curiosity for the understanding of life and a special enthusiasm for resolving challenging situations, which lead her to obtain her Bachelor’s Degree in Molecular Biology at the University of Alcalá in 2014. Her undergraduate research was focused on the study of hematological malignancies to define diagnostic and prognostic biomarkers. After that, she did a Master of Science in Immunology Research at the Complutense University of Madrid and she worked to elucidate the implication of the PSGL-1 molecule on the immune system. In February 2016, she joined to Dr. Yañez-Mó’s lab at the Autonomous University of Madrid for pursuing a project aimed to design EV mimetics that could be use as reference material for EV analysis, during this time, she visited the laboratory of Dr. Falcón, at the CIC bioGUNE, to characterize these bioengineered nanovesicles by Electron Microscopy.

She has been fascinated by flow cytometry since she started her scientific career and her research interest is now focus on the use of high-resolution flow cytometry to bring to light the characterization of EV subsets in body fluids and exploit the potential use of EV as biomarkers.

Find her here.

Why are you doing a PhD?

I want to purse an experimental PhD project on Extracellular Vesicles because I think it is a very exciting and challenging field with many possibilities yet to be exploited. I believe that being part of TRAIN-EV will help me to achieve my goals and become a good scientist.

 Other interests?

I find Space sciences, such as astronomy and astrobiology, very intriguing and fascinating. I absolutely love art in all its forms- painting, photography, poetry, music- and really enjoy when arts meet science in life. Travelling, discovering new places and practicing outdoors activities are also in my ‘’to-be-happy’’ list.

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