Research Scientist Intern at Berkeley Artificial Intelligence Research
Berkeley, California, United States
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Summary
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Rockstar
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Top School
Long Lian is a PhD student in EECS at UC Berkeley and a Research Scientist Intern on Meta’s GenAI Llama pretraining team. He researches multi-modal generative models and efficient deep learning with a focus on medical imaging, combining rigorous academic work with hands-on system building. His background includes research stints at NVIDIA and BAIR, product engineering at Yelp, and full‑stack projects that reached 100k+ users. An active open-source contributor, he implemented a webview-based plot navigator and thumbnail support for the widely used julia-vscode extension, and also builds developer tooling like vivhost. He holds a 4.0 BA in Computer Science from UC Berkeley and brings 12 years of engineering experience spanning research, production, and UI/front-end work.
12 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical Engineering and Computer Sciences, Doctor of Philosophy - PhD, Electrical Engineering and Computer Sciences at University of California, Berkeley
High School Summer College, High School Summer College at Stanford University
Contributions:5 reviews, 10 commits, 1 PR in 28 days
Contributions summary:Long primarily focused on developing the plot panel feature for the Julia extension in Visual Studio Code. They implemented a webview-based plot navigator, including the ability to add and display plot thumbnails. Furthermore, the user updated the styles for the thumbnail elements and updated JavaScript file locations. The contributions directly enhance the user interface for visualizing and interacting with plots within the VS Code environment, enhancing the usability of the Julia extension.
Contributions:20 commits, 16 pushes, 1 branch in 6 days
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