Ying Xiao
AI Research Scientist at Meta
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolYing Xiao is an AI research scientist and technical lead with 12 years of experience building production ML systems and leading large, multi-team efforts across Google, Twitter, Character.AI, DeepMind, and Meta. She combines deep research credentials—NeurIPS/ICML/ICLR publications in optimization, TTS, and OCR—with product impact, including recommender work at Twitter that improved MDAU by ~0.5% and core OCR tech used in GCP. Comfortable as an individual researcher and as a TL of TLs, she has driven six+ projects simultaneously and shipped both research breakthroughs and high-performance engineering (e.g., an optimizer at Palantir three orders of magnitude faster than commercial alternatives). Trained in algorithms and optimization (PhD, Georgia Tech) with a dual BS in CS and Math from Yale, Ying bridges rigorous theory and pragmatic, scalable deployment in production AI.
11 years of coding experience
11 years of employment as a software developer
PhD Computer Science (Algorithms Combinatorics and Optimisation), PhD Computer Science (Algorithms Combinatorics and Optimisation) at Georgia Institute of TechnologyBS Computer Science and Mathematics, BS Computer Science and Mathematics at Yale University
Github Skills (35)
spectral9
data-augmentation8
density-estimation8
image-processing7
visualization7
building-blocks7
machine-learning7
hessian7
paddle7
image-augmentation6
deep-learning6
tensorflow6
gpu6
data-processing6
audio-processing6
Programming languages (5)
Github contributions (5)
google/spectral-density
Mar 2019 - Mar 2020
Hessian spectral density estimation in TF and Jax
Contributions:8 commits, 1 PR, 1 push in 1 year
deep-learningdensity-estimationestimationhessianjax
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