I am a research assistant and master's student at Universidad Autonoma de Occidente (UAO) under the supervision of Victor Romero Cano with a focus on machine perception, deep learning, reinforcement learning and robotics. During my master's studies I have been working on sensor data fusion (Camera and LiDAR) for improved object recognition in the context of environment perception from mobile platforms.
Prior to that, I had a great fortune working with Ricardo Moreno Chuquen on problems of optimization and flexibility of modern power systems.
I completed my undergraduate degree at the UAO where I studied Mechatronics Engineering. During my undergraduate study, I worked with Professor Jesus Alfonso Lopez as an undergraduate researcher in the Artificial Intelligence team.
My research interests span computer vision, reinforcement learning, and robotics. I am highly motivated to work in how algorithms can enable machines to acquire more general notions of intelligence through learning and interaction, allowing them to autonomously learn a variety of skills in real-world settings and build on top of already existing skills to solve more complicated tasks. While the successes of reinforcement learning in the single-task setting are incredibly exciting, I am most drawn to problems that stand in the way of efficient multi-task and lifelong reinforcement learning.
Frequently, I am studying on several topics related to RL, deep learning, cognitive-AI, multimodal learning and causality. Therefore, I would like to share to you some amazing academic sources available on internet. They have been very useful to me.
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