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Qiongge Li is an Assistant Professor in Radiation Oncology at Brown University, serving as a Clinician Educator. His research focuses on utilizing artificial intelligence (AI) to enhance the safety and efficiency of radiotherapy. He aims to leverage natural language processing (NLP) to impute missing data and identify important features, which will enable accurate predictions of prescription anomalies. In addition, he is interested in designing and improving anomaly detection algorithms to effectively recognize anomalies during clinical practice. Ultimately, his goal is to develop algorithms that streamline peer review processes during chart rounds and create visualization tools that facilitate the efficient and effective identification of prescription anomalies.
Brown University • Providence, RI
Teaching MED 2210 - Radiological Physics Dosimetry. Associate Medical Physicist role from 2022-2025.
Department: Department of Economics