I am a third year PhD student in the Machine Learning Department at Carnegie Mellon University. I am fortunate to be advised by Geoff Gordon and also work with Matt Gormley. I am interested in the application of imitation learning, reinforcement learning, and deep learning to algorithmic domains with strong heuristic aspects, such as optimization and combinatorial search. I tend to look at applications within machine learning, natural language processing, and computer vision. I am also interested in the software engineering side of machine learning, where I like to think about modularity, reusability, expressivity, workflow, and tooling. I think that, as a community, we should pay a lot more attention to interfaces, standardization, and design patterns.
I spent a wonderful summer in 2016 as a research intern at Microsoft Research Redmond working with Asela Gunawardana and Vincent Etter on machine learning for user interaction. Before coming to CMU, I spent the summer of 2015 as a research intern at Xerox Research Centre Europe working with Ariadna Quattoni and Xavier Carreras on sketching algorithms for spectral learning. I spent the year of 2014 as a research scholar working with André Martins on machine learning and natural language processing. I spent three months as a visiting scholar at CMU working with Noah Smith on multiword expression tagging. Prior to that, I got a MSc and a BSc in Electrical and Computer Engineering from Instituto Superior Técnico. For my MSc thesis, I worked with Pedro Aguiar on developing invariants for shape representation using symmetric polynomials and the bispectrum. It has been a pleasure to work with so many great people!
I am always happy to discuss research. I am available to talk with anyone that stops by my office on Tuesdays and Fridays from 4pm to 5pm. I call these collaboration hours. I am open to mentor graduate and undergraduate students wanting to work on projects leading to publications or software. Send me an email or stop by my office if you want to chat.