Jingwen Liang

About Jingwen Liang

Email: l••••••••@gmail.comAs a research scientist with a Ph.D. in Mathematics and over five years of experience in both research and industry, I specialize in the fields of computer vision, computer graphics, and machine learning. I have led multiple projects involving AI-driven content generation and animation synthesis, utilizing my expertise in generative AI models such as Autoencoders, GANs, transformer and diffusion models. With extensive experience using machine learning frameworks such as TensorFlow, PyTorch, Spark ML, and scikit-learn, I have honed my skills in various aspects of AI research and development, from prototyping and testing to production deployment. This includes but is not limited to delivering end-to-end data driven solution products, publishing papers and filing patents.As a self-motivated learner, I am observant and always eager to learn. My experience collaborating with others as a contributor has also strengthened my ability to work well in teams. I am passionate about using deep learning and statistical inference to tackle real-world problems and make a meaningful impact.

Experience

1. Senior Machine Learning Engineer

   Roblox

   Aug 2025 — Present · San Mateo, CA, US

Education

• Southwestern University of Finance and Economics

  Bachelor's Degree, Statistics

  2009 — 2013

• UC San Diego

  M.S., statistics

  2013 — 2015

• UC San Diego

  Doctor of Philosophy (Ph.D.), Applied Mathematics

  2015 — 2020

Skills

• Quantitative Analytics
• Java
• Statistics
• Sql
• Deep Learning
• Data Mining
• Statistical Modeling
• Matlab
• Data Analysis
• Hypothesis Testing
• R
• Algorithms
• Python
• Latex
• Git/Github
• Regression Analysis
• Machine Learning