Estefania Barreto-Ojeda was born in Bogotá, Colombia, where she obtained her B.Sc.
in Physics at Universidad Nacional de Colombia. After finishing her M.Sc. degree
at Instituto Balseiro, in Bariloche, Argentina (yes, it is in Patagonia!),
crossed the continent up to Calgary to pursue a Ph.D. in Biophysical Chemistry.
Estefania's research interests mix computational tools and statistical analysis to study biological systems with medical and pharmaceutical relevance. One of the main goals of her research is trying to better understand the physics behind the properties of biological membranes. During her Ph.D. Estefania TA courses involving scientific writing and statistical analysis.
Estefania is also a data visualization fan and machine learning enthusiast. In 2020, she offered the first ML grad course for biologists at The University of Calgary. In the summer of 2021, Estefania was part of the Google Summer of Code program with MDAnalyisis. Her contribution to open source came with the MembraneCurvature tool to derive curvature profiles from MD simulations. In the same year, Estefania participated in the Cybera Data Science Fellowship where she developed an automated approach to optimize young student-athletes' carrer paths interested in a profesional carreer in hockey.
Currently, Estefania is TAing a Data Visualization in Python course for the certificate in Data Science at the University of Calgary.
In her free time, she improves her sushi-making and baking skills while waiting for the pandemic to be over and travel around the world.
You can find her leaning towards the left. And because she wants to make of the world a better place, she's happy to share the code.