I am an applied scientist at Amazon search.
I obtained my Ph.D. degree in Computer Science from Purdue University in 2020, where I worked with Dan Goldwasser in the Natural Language Processing (NLP) group.
During my Ph.D. studies, my research interests were connectionism inspired machine learning methods for natural language processing, more specifically, neural networks and probabilistic models. I was particularly interested in structural models that try to understand language as a structured cognitive representation, focusing on the syntactic level of languages.
Before I started my Ph.D. studies, I worked on Neural Networks (Adaptive Resonance Theory) and numerical optimization methods for Human-Computer Interaction (HCI), with Gregory Francis in Psychological Sciences at Purdue University, from where I obtained my master in psychology (Mathematical and Computational Cognitive Science concentrated). During that period, I received intensive quantitative and computational training, and also developped my interest in machine learning.