About Me

About me

I am a Biomedical Engineer from Universidad de Los Andes. Currently, I am a DeepMind scholar (2021) pursuing my M.Sc. in Biomedical Engineering with an emphasis in Artificial Intelligence at Universidad de Los Andes. Also, I am a researcher at the Biomedical Computer Vision (BCV) research group and the Center for Research and Formation in Artificial Intelligence (CINFONIA) under the supervision of Prof. Pablo Arbeláez. Now, I am in Sophia Antipolis, France doing a collaboration project between CINFONIA and EURECOM under the co-supervision of Ph.D. Pablo Arbeláez and Ph.D. María Zuluaga for brain vessels segmentation in MRIs.

My main interests include molecular biology, genetics, nature conservation, and how to attend these problems with the aid of Machine Learning, Deep Learning, and Computer Vision. I also work with computer vision in other applications, such as Endoscopic Surgical Video Analysis and Petrography.

I like singing and manual activities in my free time, such as ceramics, painting, embroidery, and healthy cooking (specially desserts and pancakes).

Research Projects

Research Projects

Drug Discovery

For more information click on the project name
Publications and Awards

Publications and Awards

Predicting target–ligand interactions with graph convolutional networks for interpretable pharmaceutical discovery

Paola Ruiz*, Laura Rueda*, Natalia Valderrama*, Isabela Hernández, Cristina González, Laura Daza, Carolina Muñoz-Camargo, Juan C Cruz, Pablo Arbeláez.

Scientific Reports

PDF | Project page | BibTex

PharmaNet: Pharmaceutical discovery with deep recurrent neural networks

Paola Ruiz*, Natalia Valderrama*, Cristina González, Laura Daza, Carolina Muñoz-Camargo, Juan C Cruz, Pablo Arbeláez.

Plos One

PDF | Project page | BibTex

Integrant of Team Uniandes. We won first place in the activity recognition task at the MIcro-Surgical Anastomose Workflow recognition on training sessions Challenge part of MICCAI 2020

For more information on the challenge and the results click here

Experience

Work Experience

Researcher 2019 - Present

I am a member of the Biomedical Computer Vision (BCV) group and the Center for Research and Formation in Artificial Intelligence (CINFONIA) at Uniandes, led by Prof. Pablo Arbeláez. I have worked in:

  • Protein-Ligand Interaction prediction for Drug Discovery and Repurposing.
  • Instrument Recognition in laparoscopic and robotic-assisted surgery scenes.
  • Development of dataset for action recognition in surgical scenes.
  • Mineral composition prediction in thin sections of rocks.
  • Analysis of satellital and aerel images for nature conservation.

Teaching Assistant - Image Analysis and Processing present

As a teacher, I plan and assist students with the laboratories of the course. I create new material for teaching machine learning methods applied to biomedical problems. Also, I am in charge of reviewing laboratories, tests, and final class projects.

Skills

Skills

Python/Pytorch

Matlab

LaTeX

3D modeling (Inventor, etc.)

Statistical analysis (Minitab, etc.)

Spanish (Native)

English (C2)

French (B1)

Education

Education

MSc. Biomedical Engineering 2021 - present

Universidad de los Andes

Emphasis on computer vision, machine learning and deep learning. Advisor: Prof. Pablo Arbeláez.

Received one of the Deepmind Scholarships 2021.

Other

Other

From 2010 to 2016, I was part of the Singing School "Escuela de Canto Escala." I received voice and singing training and performed at various concerts.

During twelve years, I practiced Tae Kwon Do at the San Kang Pa Da School, in which I reached Black Belt first Dan.

Get in Touch

Contact

E-mail: nf.valderrama@uniandes.edu.co

GitHub:
nfvalderrama

LinkedIn:
Natalia Fernanda Valderrama Barrera