Feng Chen is currently pursuing a PhD in Biomedical and Health Informatics at the University of Washington. He received his MS in Biomedical Informatics from Harvard Medical School and his BS in Computer Science and Biochemistry from Brandeis University. His previous research includes developing machine learning and graph representation learning for protein-protein interaction prediction, as well as bias detection and mitigation bias in AI applications using EHR data. He is now focusing on the application of deep learning, natural language processing and large language model in clinical settings. His work aims to identify clinical signatures for mental illness and address implicit biases in healthcare delivery, leveraging advanced computational methods to enhance the accuracy and fairness of healthcare AI predictions and interventions.

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