Renato Negrinho


photo
PhD Student

Gates Hillman Centers 8005
Machine Learning Department
School of Computer Science
Carnegie Mellon University
5000 Forbes Ave
Pittsburgh, PA 15213

negrinho at cs dot cmu dot edu

[google scholar] [github] [blog] [twitter] [linkedin] [cv]

Bio

I am a PhD student in the Machine Learning Department at Carnegie Mellon University advised by Geoff Gordon and Matt Gormley.

I'm on the job market for industry jobs starting in 2021.

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 was a research scientist intern at Petuum working on an architecture search framework. I have spent two summers at Microsoft Research: one in 2018, working with Ben Zorn and Alex Polozov on applying deep learning to spreadsheets; one in 2016, working with Asela Gunawardana and Vincent Etter on machine learning for user interaction. Prior to that, I got a MSc and a BSc in Electrical and Computer Engineering from Instituto Superior Técnico. For my MSc thesis, I've worked with Pedro Aguiar on developing invariants for shape representation using symmetric polynomials and the bispectrum.

I am always happy to discuss research. Send me an email or stop by my office if you want to chat.

Publications

Software

Teaching