Joyce Chen is an early-career software engineer and researcher focused on machine learning and AI for real-world impact, currently a Member of Technical Staff at Inception Labs after research roles at Stanford AI Lab. She has contributed to projects spanning vision-language models for temporal earth-observation imagery (TEOChat, ICLR 2025) and GenAI finetuning at Databricks Mosaic Research, bridging applied ML research and engineering. Her background in mathematical and computational science (BS) and ongoing MS in Computer Science at Stanford underpins work on participatory ML for content moderation and NLP for public records. Joyce pairs academic rigor with product-minded internships in finance and industry, and has a track record of translating research into usable systems for climate, media, and governance applications. An uncommon thread in her profile is her editorial leadership at The Stanford Daily, reflecting strong communication skills alongside technical depth.
1 year of coding experience
2 years of employment as a software developer
Westminster School, London
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
LLM training code for Databricks foundation models
Contributions:13 reviews, 6 PRs, 3 pushes in 14 days
deep-learningllmneural-networksnlppytorch
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Joyce Chen - Member Of Technical Staff at Inception Labs