معرفی
Yu Liu, PhD, MPH, is an Associate Professor in the Department of Public Health Sciences at the University of Rochester Medical Center. Previously, they held the position of Assistant Professor at the same department. Their research focuses on leveraging computational and data-driven approaches in public health and drug discovery, with a particular emphasis on HIV/AIDS research among high-risk populations and the application of machine learning in structural biology and drug development.
Dr. Liu holds a PhD and a Master of Public Health (MPH), both earned in 2015. Their work spans computational biology, bioinformatics, and public health. They specialize in applying machine learning techniques to address challenges in drug discovery, such as predicting molecular interactions and optimizing small molecule candidates. Their research also addresses public health issues like HIV/AIDS prevention and care among marginalized groups, including men who have sex with men (MSM). Additionally, they explore ethical AI in healthcare, such as fairness in algorithmic systems.
Recent trends in their publications highlight advancements in generative AI for molecular modeling, graph neural networks in drug discovery, and the integration of topological methods with machine learning. Their work bridges computational methods with real-world health challenges, emphasizing both basic research and translational applications.
While no scientific awards or specific grants are explicitly listed, Dr. Liu collaborates with mentors like Han-Zhu Qian and contributes to interdisciplinary research initiatives. Their contributions include studies on citizen science platforms like Foldit, exploring how non-experts and professionals collaborate in drug design.
