Advanced Postdoctoral Researcher at University of Bern
Bern, Bern, Switzerland
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Summary
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Linlin Jia is an Advanced Postdoctoral Researcher in Bern with nine years of experience applying graph-based machine learning and deep learning to real-world scientific problems. She develops structural spatio-temporal models and integrates large language models to improve river temperature forecasting, boosting prediction accuracy while making models more explainable and able to fuse multimodal data. Her PhD from INSA Rouen focused on machine learning and pattern recognition in chemoinformatics, and she has applied graph ML to sustainable polymer optimization and vision/object-detection problems. Comfortable at the interface of theory and application, she has moved between academic labs across Europe and collaborates cross-disciplinarily to translate models into domain impact. A multilingual researcher with a taste for the poetic (her GitHub bio quotes dance), she combines rigorous experimentation with creative thinking to tackle environmental and chemical informatics challenges.
9 years of coding experience
Doctor of Philosophy - PhD Informatique, Doctor of Philosophy - PhD Informatique at INSA Rouen Normandie
Master's degree Software Engineering, Master's degree Software Engineering at Xi'an Jiaotong University
Summer Programme Computer Science, Summer Programme Computer Science at National University of Singapore
Contributions:11 commits, 1 PR, 10 pushes in 2 years 7 months
everythinginsacsc
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Linlin Jia - Advanced Postdoctoral Researcher at University of Bern