Philip Pham is a staff research engineer at Google DeepMind with 13 years of experience blending machine learning, software engineering, and applied mathematics. He has led ML-for-planning work at Waymo and built personalization and data-driven UIs at Google, pairing deep research instincts with production-grade TypeScript and Angular development. A mathematician by training (Duke BS, UPenn MA), he brings a statistician’s rigor to engineering problems and has contributed to high-profile open-source projects like Angular Material, improving component behavior and UX. Known for turning elegant math into practical systems, he also teaches and mentors, having taught advanced math courses and cryptology to gifted students. Outside core roles he maintains a personal site that surfaces interdisciplinary projects tying theory to real-world tooling.
13 years of coding experience
12 years of employment as a software developer
Bachelor of Science Mathematics, Bachelor of Science Mathematics at Duke University
Master of Arts (M.A.) Mathematics, Master of Arts (M.A.) Mathematics at University of Pennsylvania
Component infrastructure and Material Design components for Angular
Role in this project:
Front-end Developer
Contributions:6 commits, 8 PRs, 44 comments in 3 months
Contributions summary:Philip contributed significantly to the Angular Material component library. Their work focused on enhancing the `select` and `menu` components, addressing bug fixes and adding features such as `compareWith` functionality and preventing multiple close events. They also modified the demo application for chips to set `addOnBlur` for both inputs, improving the user experience. These changes involved modifications to TypeScript, HTML, and component testing, demonstrating a focus on improving component behavior, user interface, and overall functionality.
Contributions:5 pushes, 1 branch in 3 years 7 months
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