I am a Postdoctoral Fellow at the Learning & Intelligent Systems Group at MIT CSAIL, where I work with Prof. Tomás Lozano-Pérez and Prof. Leslie Pack Kaelbling. I obtained my Ph.D. at the Lifelong Machine Learning Group at the University of Pennsylvania, where I was advised by Prof. Eric Eaton. I previously obtained a Master’s degree in Robotics from the GRASP Lab at Penn, and got my Bachelor’s degree in Electronics Engineering from Universidad Simon Bolivar in Venezuela.
During my Ph.D., I was fortunate to work as a research intern in 2021 at FAIR NYC with Arthur Szlam and Ludovic Denoyer on mixture of experts models, in 2020 at MSR Montreal with Harm van Seijen on lifelong learning of compositional reinforcement learning problems, and in 2019 at Facebook AI with Alborz Geramifard and Mohammad Ghavamzadeh on multidomain reinforcement learning for dialog. I previously spent a year at Politecnico di Milano in Italy, where I took graduate courses in AI and Robotics, and spent five months at the Advanced Systems Technology group in STMicroelectronics.
I’m interested in the creation of versatile artificially intelligent systems that learn to accumulate knowledge over their lifetimes. I focus on the question of how agents can decompose the complex knowledge required to model a lifelong data stream into simpler units that can be adapted and reused in the future. My work applies these methods to computer vision, robotics, and natural language.