Philip A. Etter, Ph.D.
Research Scientist, Meta Reality Labs
Hi! 👋 I'm a computational mathematician working at Meta. I use model reduction and AI techniques to accelerate high-fidelity computational models. Applications of my research run the gamut from real-time interactive elasticity to extreme multilabel ranking!
Education
Work Experience
Meta (Promotion)
Research Scientist L5
2024 — Current
Meta
Research Scientist L4
2022 — 2024
Meta
Research Scientist Intern
Summer 2021
Amazon
Applied Data Scientist Intern
Summer 2020
Sandia National Laboratories
Data Scientist Intern
Summer 2018
Google
Software Engineering Intern
Summer 2014
Publications
Operator Shifting for General Noisy Matrix Systems
Philip A. Etter, Lexing Ying
SIAM Journal on Mathematics of Data Science
Operator Shifting for Noisy Elliptic Systems
Philip A. Etter, Lexing Ying
Research in the Mathematical Sciences
Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees
Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Injerjit Dhillon
Proceedings of the ACM Web Conference
Online Adaptive Basis Refinement and Compression for Reduced-Order Models via Vector-Space Sieving
Philip A. Etter, Kevin Carlberg
Computer Methods in Applied Mechanics and Engineering
Coarse-Proxy Reduced Basis Methods for Integral Equations
Philip A. Etter, Yuwei Fan, Lexing Ying
Journal of Computational Physics
Programming Languages
