Trisha Lian
Research Scientist at Meta
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolTrisha Lian is an applied vision scientist and research engineer with 10 years of experience building image systems simulations and perceptual models that guide camera and display design. Based in Redmond, she develops and validates end-to-end pipelines that ray-trace 3D scenes through physiological optics to predict retinal images and derive perceptual image quality metrics used for novel displays and VR/AR systems. Her background combines a PhD in Electrical Engineering from Stanford with hands-on simulation work in MATLAB, C++/PBRT and ZEMAX, and a track record of transitioning academic prototypes into industry research at Meta and Facebook Reality Labs. Trisha’s work spans both sensor- and human-centric evaluation—she has simulated everything from light-field CFA designs to underwater photography and 360° rigs—highlighting an uncommon fluency across optics, rendering, and psychophysics. Colleagues rely on her to translate complex human-vision principles into practical engineering decisions that improve perceived image quality.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Biomedical Engineering, Summa Cum Laude, Bachelor's degree, Biomedical Engineering, Summa Cum Laude at Duke UniversityDoctor of Philosophy (Ph.D.), Electrical Engineering, Doctor of Philosophy (Ph.D.), Electrical Engineering at Stanford University
English, Chinese
Github Skills (30)
render10
pbrt10
scene10
360-video9
modeling8
rendering8
image-comparison7
toolbox7
hardware-designs7
complement7
visualization7
facebook7
camera7
matlab7
renderer6
Programming languages (3)
Github contributions (5)
scienstanford/pbrt-v3-spectral
Nov 2017 - Jul 2019
This is Vistalab's modified version of PBRTv3.
Contributions:57 commits, 13 PRs, 49 pushes in 1 year 8 months
modified
scienstanford/RTBscenes
Oct 2015 - Nov 2016
Contributions:52 pushes, 1 branch, 2 comments in 1 year 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.