Previously, I spent two years as a software engineer at Waymo, working on bringing autonomous vehicles to market. Prior to that, I was studying Computer Science at Princeton (‘16), and graduated with certificates in Applied & Computational Math and Robotics & Intelligent Systems.
I’m a big fan of running, discovering stories (through books, people, or otherwise), appreciating art, and finding ways to engage with my local community.
My interests lie at the intersection of machine learning and human-computer interaction.
I want to understand how we can empower ML practitioners to build more value-aligned systems with an emphasis on building more interpretable and explainable models, leveraging richer human feedback, and making ML development more accessible to all.
Iterative Interactive Reward Learning.
Pallavi Koppol, Henny Admoni, Reid Simmons. Participatory Approaches to Machine Learning Workshop at ICML 2020.