Felipe Felix Arias

I am an MS student and NSF Graduate Research Fellow at the University of Illinois at Urbana-Champaign (UIUC), where I work on applied machine learning in Dr. Nancy M. Amato's group in Parasol Lab. I received my Bachelor of Science in Computer Science with Honors from UIUC in 2019 and have been fortunate enough to work on great projects at Uber, UIUC, Stanford, and the University of California Berkeley. In my free time, I enjoy making music and taking pictures/videos.

felipefelixarias AT gmail.com  /  Google Scholar  /  CV  /  Github  /  LinkedIn

I'm graduating with my MS in Computer Science in December 2023 and looking for full-time machine learning/data science opportunities in Chicago or San Francisco. I primarily focus on computer vision, regression, and natural language processing. Please look at my CV for more details and feel free to reach out via LinkedIn or email (felipefelixarias AT gmail DOT com). I'm very excited for the next stage of my career!

I am most interested in computer vision, regression, and natural language processing, but I also have experience with robotics, reinforcement learning, self/weak supervision, and audio. Below are some of the projects/publications I've created web pages for!

We propose a self-supervised methodology for learning to identify regions critical to obstacle avoidance and leverage it to construct probabilistic roadmaps well-suited for multi-agent motion planning.

Mutiple viewpoints should provide additional information for reinforcement learning-based navigation, this work is the first step towards determining the best way to leverage the cameras of all the agents in the scene.

Risky events are subjective and hard to detect due to the lack of real-world training data. We use weak-supervision and heuristics to track human behavior in the roadways, assess risk, and detect areas that may need more law enforcement or traffic signs.

Snorkel combines heuristics to train a neural network that can classify semantic relationships from a single sentence as well as one trained with hand-labeled data. We develop a metholodogy and novel heuristics for extracting relationships across multiple sentences.

A big thank you to Jon Barron for the website template.