Maria C. Escobar

M.Sc. Student in Biomedical Engineering

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I am a Biomedical Engineer from Colombia. I am currently doing a M.Sc. in Biomedical Engineering at Universidad de los Andes. My main interests include artificial intelligence computer vision, data analytics and mathematical modelling. My goal is to use the tools I learn to create a bridge between medical practice and artificial intelligence.


Research Experience

Biomedical Computer Vision

Uniandes | 2018 - Present

I am a graduate research assistant of the Biomedical Computer Vision (BCV) group at Uniandes, led by prof. Pablo Arbeláez. In our group we work not only on medical images but also on current topics in computer vision such as Natural Language Processing, Generative Adversarial Networks and Video. During my time in BCV I have learned to work on multidisciplinary teams, conduct research projects and prepare paper submissions for international conferences. Some of my research areas are:

  • Biomedical Imaging.
  • Generative Adversarial Networks.

Work Experience

Graduate Teaching Assistant

Uniandes | 2019

Laboratory instructor. I was in charge of designing laboratory activities regarding the use of basic computer vision tools for biomedical problems. I also had to assist and evaluate students in their final projects.

  • Analysis and Processing of Biomedical Images(Jan 2019 - May 2019).

Undergraduate Teaching Assistant

Uniandes | 2016 - 2018

In charge of designing interactive material for lectures, creating and grading midterms, modifying lab guides, assisting students during lab sessions and grading homeworks.

  • Quantitative Physiology I & II (Jan 2018 - May 2018).
  • Quantitative Physiology II (Aug 2017 - Dec 2017).
  • Probability and Statistics I (Aug 2017 - Dec 2017).
  • Algorithmic and Object-Oriented Programming I (Aug 2016 - Dec 2016).

Projects

Hand Pose Estimation for Bone Age Assessment

2018

The idea behind this project is to develop an automated method that can predict Bone Age based on the hand radiograph of a child. This is relevant because Bone Age Assessment (BAA) is a critical factor for determining delayed development in children, which can be a sign of various pathologies. We developed the Bone Age Assessment Resources (BAAR) as a tool to help researchers create new methods for BAA by exploiting anatomical information. We also created BoNet, a novel neural network method for BAA that outperforms the previous state-of-the-art. Our paper titled "Hand Pose Estimation for Pediatric Bone Age Assessment" was accepted as an oral presentation at the Medical Image Computing and Computer Assisted Intervention conference (MICCAI 2019) in Shenzen, China.

Other

Salsa Uniandes

2016

Member of Salsa Uniandes since January of 2016. We are a student group at Uniandes dedicated to finding alternative spaces for expressing ourselves through dance. We give free workshops of Latin rythms every week for the entire university and several presentations every semester. We are very commited towards the creation of a healthy environment at Uniandes.

Con Las Manos

2019

Volunteer at "Con Las Manos", a project created in 2013 at Uniandes with the aim of giving back to a vulnerable community with the most powerful tool we all have: education. My role as a volunteer is to teach 5th graders basic math through a problem based learning framework and socio-emotional abilities through various interactive projects. I also work on the Operations area, we are in charge of the logistics behind everything that goes on in the organization.