About
I am a highly skilled and ambitious professional specialized in computer vision and NLP for medical data. Known for my structured approach and meticulous attention to detail, I consistently deliver high-quality results within specified timelines. My strong teamwork abilities enable me to thrive in collaborative environments, where I value and integrate diverse perspectives, personalities, and cultural backgrounds to drive innovative solutions.
Education and Experience
Education
Ph.D. Student
2020 - 2024
University of Bern, Switzerland
My research revolved around the topic of Visual Question Answering (VQA). Most of my work was focused on consistency for VQA.
Thesis title: Spatial Awareness and Logic for Robust Visual Question Answering.
Erasmus Mundus Joint Master in Medical Imaging and Applications (MAIA)
2018 - 2020
University of Burgundy, France
University of Cassino, Italy
University of Girona, Spain
This international master's program with students from 15 countries took place in France, Italy and Spain.
Exchange semester
2016
Ilmenau University of Technology, Germany
Exchange semester during the Young Engineers program of the DAAD.
Electronic Engineering
2011 - 2017
Universidad del Valle, Colombia
A very varied program in which theoretical knowledge was always combined with practical experiments and projects.
Professional Experience
Postdoctoral Researcher
2024 - present
ETH Zurich, Zurich, Switzerland
Research and engineering position in collaboration with Scanvio Medical for the democratization of expert ultrasound especially for the diagnosis of endometriosis from ultrasound data.
Research Assistant (60%)
2024
University of Bern, Switzerland
Research position for the exploration of further topics in Visual Question Answering. Additional tasks included the supervision of a Master student during the development of his thesis in the topic of VQA for ECG signals.
Research Intern
2020
Mediri GmbH, Germany
I developed my master thesis titled “Multiple Sclerosis Lesion Segmentation Using Longitudinal Normalization and Convolutional Recurrent Neural Networks.” This work received the award of best MAIA master thesis.
Research Intern
2016
Endress & Hauser, Germany
Internship under the supervision of two senior developers. My work focused mainly on the improvement of software for linearization of pressure sensors, as well as the evaluation of Python for future use in the company.
Skills
Programming Languages
Python
C/C++
Matlab
Libraries / Frameworks
PyTorch
PyTorch Lightning
Tensorflow + Keras
HuggingFace
LangChain
OpenCV
NLTK
NumPy
SpaCy
Scikit Learn
Pandas
Tools / Platforms
Git
Azure
SLURM
VSCode
ITK-Snap
LaTex
Languages
Spanish - Native
English - Advanced
German - Advanced
Swiss German - Intermediate
Italian - Intermediate
French - Basic
Russian - Basic
Turkish - Basic
Publications
Localized Questions in Medical Visual Question Answering
MICCAI 2023
Vancouver, Canada
We introduce a method to answer questions about user-defined regions in an image as opposed to questions about the entire image.
Logical Implications for Visual Question Answering Consistency
CVPR 2023
Vancouver, Canada
A method to improve consistency in VQA by integrating logical relations between pairs of question-answers into the tratining process.
Consistency-Preserving Visual Question Answering in Medical Imaging
MICCAI 2022
Singapore
This approach uses a regularizer to improve consistency in VQA for medical images. The idea is to penalize inconsistent cases during training.
Multiple Sclerosis Lesion Segmentation Using Longitudinal Normalization and Convolutional Recurrent Neural Networks
MLCN Workshop, MICCAI 2020
Lima, Perú (Virtual)
Longitudinal annotations are leveraged to improve segmentations of MS lesions. This is achieved with a combination of UNets and convolutional LSTMs.
Awards
Best MAIA Master Thesis
2020
University of Burgundy, University of Cassino, University of Girona
For the thesis entitled Multiple Sclerosis Lesion Segmentation Using Longitudinal Normalization and Convolutional Recurrent Neural Networks.
Best MAIA Master Student
2020
University of Burgundy, University of Cassino, University of Girona
Award for best student in the third batch of the Master in Medical Imaging and Applications (MAIA).
Erasmus+ scholarship
2018
European Union
Scholarship to study the Master in Medical Imaging and Applications (MAIA) in 3 European Countries.
Bachelor final project with distinction
2017
Universidad del Valle, Colombia
Project entitled Method for the Non-invasive Measurement of the Fetal Electrocardiogram.
Scholarship Young Engineers
2015
German Academic Exchange Service (DAAD)
Scholarship to study one semester at a German university and do an internship at a German company.
Best high school graduate
2009
Institución Educativa Inmaculada Concepción
Award as best graduate.