About Qingchu Jin

Dr. Qingchu Jin is a Research Scientist in Roux Institute at Northeastern University. with a focus on leveraging machine learning (ML) and deep learning (DL) technologies to address a broad spectrum of healthcare and biological challenges.

Dr. Qingchu Jin earned his Ph.D. in Biomedical Engineering at Johns Hopkins University School of Medicine. His dissertation focuses on developing statistical and machine learning models to analyze the ODE and stochastic process based mechanistic model in the field of cardiac electrophysiology. The ML methods developed can dramatically reduce the computational time and help to analyze the cellular arrhythmia events in a probabilistic manner.

Dr. Jin’s current research interest is to develop ML-based predictive analytics to enhance clinical decision-making processes such as early detection of postoperative adverse event in heart surgery patients, early risk stratification on cardiac arrest patients, etc. Additionally, Dr. Jin is interested to develop advanced AI analysis tool to provide deeper insights into the workings of ML models, ultimately aiming to improve model interpretability and robustness in real-world applications.

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