Joya Chen
Research Intern Seed at ByteDance
Singapore
Summary
👤
Senior🎓
Top SchoolJoya Chen is a final-year Ph.D. candidate at NUS and a research intern at ByteDance Seed specializing in large multimodal models for video, with nine years of research and engineering experience across industry leaders like Meta and TikTok. Her work spans data scaling, model architecture, pre- and post-training, and benchmarking, with contributions to streaming-capable systems and interactive demos (Seed1.5-VL) and live streaming VideoLLM research. She has co-authored projects presented at top venues (CVPR) and helped build large-scale datasets and processing pipelines such as Ego-Exo4D and LiveCC. Comfortable at the intersection of academic rigor and production-facing research, she repeatedly focuses on online and streaming multimodal problems that bridge real-time interaction and world modeling. Based in Singapore and graduating summer 2026, she is actively pursuing industrial research roles and welcomes collaboration and contact via email. An intriguing personal touch: her GitHub bio—“Hopes never die”—hints at a resilient, long-term commitment to ambitious research goals.
9 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at University of Science and Technology of ChinaBachelor's degree, Vehicle Engineering, Bachelor's degree, Vehicle Engineering at 武汉理工大学Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at National University of Singapore
Github Skills (80)
transformers10
language-model10
python10
flax10
deep-learning10
gpu10
compression10
gpu-acceleration10
optimization10
face10
modular10
acceleration10
numpy10
face-recognition10
neural-network10
Programming languages (4)
Github contributions (5)
chenjoya/ai-bibtex
Sep 2020 - Nov 2022
Contributions:7 commits, 40 pushes in 2 years 2 months
chenjoya/chenjoya.github.io
Jul 2021 - Jul 2024
Contributions:77 pushes, 1 branch in 3 years
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