About Me
I’m a passionate scientist and science communicator
Bachelor in Psychology
Javeriana Universiy (2013)
5-year psychology program with a clinical focus. In my graduate work, I wrote a monograph on the biological basis of consciousness and conducted research with models of cerebral ischemia in rats.
PhD in Neuroscience
Ruhr University Bochum (2020)
I conducted rsearch on mouse models of cerebral ischemia to investigate the role of the protein Tenascin-C in the immune response, glial scar formation and extracellular matrix regorganization.
Neuroscience researcher
Science Communicator
My Story
I hold a bachelor’s in Psychology (Javeriana University, Colombia) and a doctoral degree in Neuroscience (Ruhr University Bochum, Germany). I have developed broad technical skills in cellular and molecular neuroscience by studying neuroglia (astrocytes and microglia) reactivity and extracellular matrix (ECM) deposition in the context of cerebral ischemia.
My research fields
Models of Cerebral Ischemia
Microscopy imaging and analysis
Neuroglia reactivity
Extracellular Matrix
Open and reproducible science
Research Skills
- Middle Cerebral Artery Occlusion (MCAo)
- Mouse Behavioral testing
- Immunohistochemistry
- Protein and RNA extraction
- Flow cytometry
- Image processing and analysis
- R-sofware and Python coding
- Scientifc writing
Academic networks
My Approach
During my PhD I recognized the serious reproducibility crisis that biomedical science is going through, driven mainly by the poor scientific practices of thousands of researchers around the world and its thoughtless transfer to new generations of scientists.
I firmly believe that it is the task of young researchers like me to detach ourselves from the bad scientific culture that impedes the progress of science. We are not obliged to follow behaviors framed in the culture of “publish or perish”. For this reason, I am a scientist who explicitly supports open science, as a way to provide gold standard and detailed data supporting research findings. I believe that making raw data public is one of the strongest ways to compel scientists to abandon practices such as data and image manipulation and selective reporting.