I am a Biomedical Engineer from Colombia. I started my PhD in Computer Science at Johns Hopkins University in the Fall 2020 under the supervision of Professor Unberath in the ARCADE Research Group. My current research is on understanding human behavior on AI-assisted decision-making scenarios and on histopathology image analysis.
In 2019, I completed a Master in Biomedical Engineering at Universidad de los Andes focused on Machine Learning and Image Analysis. I was part of the Biomedical Computer Vision Group, where I worked on the application of Deep Learning to analyze biological signals, astronomical image sequences, volumetric medical images and microscopy images.
My areas of interest are Machine Learning, Artificial Intelligence, Human-AI Interaction, Medical Image Processing, Computer Vision, and Neuroscience. I am passionate about Astronomy.
There is a brief description of the major projects I worked on during my Masters.
This project was my Master's thesis. I worked with Professor Mario Valderrama on an algorithm for epileptic seizure detection in brain signals using models for recognition tasks in Computer Vision. We validated our models in the recodrings of patients from the CHB-MIT database and the EPILEPSIAE project.
This project is an interdisciplinary collaboration with Professors Pablo Arbeláez, Marcela Hernández and Jaime Forero. We proposed a paradigm-changing approach to address the classification of astronomical events from spatio-temporal visual data collected by telescopes. We retrieved a database with more than one million images from the Catalina Real-Time Transient Survey (CRTS).
I collaborate with Ph.D. student Laura Daza in brain tumor segmentation task from multiple MRI modalities. We are currently developing a Deep Neural Network to address the segmentation of anatomically different structures.
Read More