Dawen Liang
San Francisco, California, United States
Summary
🤩
RockstarDawen Liang is a research and development-focused machine learning and statistical modeling practitioner with 12 years of experience applying quantitative methods to understand and predict user behavior. Based in San Francisco, he combines rigorous statistical thinking with practical ML engineering to turn behavioral data into actionable insights. His background centers on blending research-grade models with product-driven applications, making him adept at moving prototypes toward production. Though not a public-facing open-source presence, his career suggests a strong emphasis on empirically grounded solutions and cross-functional collaboration with product and analytics teams.
12 years of coding experience
Github Skills (48)
scipy10
probabilistic-programming10
python10
statistics10
dtw10
generative10
audio10
matrix-factorization10
pitch10
probabilistic10
bayesian-methods10
recommender10
librosa10
lightfm10
music10
Programming languages (4)
Github contributions (5)
dawenl/stochastic_PMF
May 2014 - Sep 2015
Contributions:13 commits, 1 push, 3 comments in 1 year 4 months
dawenl/dawenl.github.io
Jul 2017 - May 2024
Contributions:14 pushes in 6 years 10 months
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.