Jialin Chen
Student Researcher at Google
New Haven, Connecticut, United States
Summary
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Rockstar🎓
Top SchoolJialin Chen is a Ph.D. candidate in Computer Science at Yale and a researcher-engineer with five years of experience applying machine learning to knowledge and time-series problems. He has interned as an Applied Scientist at Amazon, where he developed a novel graph retriever enabling joint training with LLM reasoners for QA over knowledge graphs, and he improved forecasting models during a machine learning internship at Kumo.AI. Currently a Student Researcher at Google, Jialin blends rigorous mathematical training from Shanghai Jiao Tong University with hands-on systems work to scale retrieval and reasoning pipelines. He is particularly experienced in designing retrieval architectures that make large language models more efficient on structured knowledge, reflecting a rare mix of theoretical insight and production-focused engineering.
5 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Yale UniversityBachelor of Science - BS, Mathematics and Applied Mathematics, Bachelor of Science - BS, Mathematics and Applied Mathematics at Shanghai Jiao Tong University
Github Skills (16)
geometric-deep-learning10
graph10
pytorch10
deep-learning10
graph-neural-network10
graph-convolutional-networks10
neural-network8
word-segmentation7
tokenizer7
text-based6
neural-machine-translation6
natural-language-processing6
nlp5
natural-language-generation5
text-generation4
Programming languages (4)
Github contributions (5)
Cather-Chen/Cather-Chen.github.io
Nov 2021 - Mar 2025
Contributions:75 pushes, 1 branch in 3 years 4 months
Cather-Chen/dl_pde
Nov 2021 - Mar 2023
Contributions:6 pushes, 1 branch in 1 year 3 months
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