Hong Pan

Hong Pan is an Assistant Professor in the Department of Computer, Data, and Mathematical Sciences at Simmons University, where he focuses on full-time teaching in data science and statistics since 2023. His academic career spans over two decades, including faculty roles at Cornell University Medical College and Harvard Medical School, where he pioneered data science solutions for neuroimaging and biomarker discovery in brain disorders. He earned his PhD in Electrical and Computer Engineering from Purdue University (2011), preceded by BS and MS in Biomedical Engineering at Shanghai Jiao Tong University.

• PhD, Electrical and Computer Engineering, Purdue University
• MS, Biomedical Engineering, Shanghai Jiao Tong University
• BS, Biomedical Engineering, Shanghai Jiao Tong University

Hong Pan specializes in computational biomedicine, integrating machine learning algorithms and advanced statistical models to analyze functional and molecular neuroimaging data. His work emphasizes developing diagnostic tools for brain disorders, optimizing data acquisition protocols, and automating informatics pipelines. Key applications include Alzheimer's disease, multiple sclerosis, schizophrenia, and PTSD, with a focus on microglial activation, emotion processing, and neurodegenerative biomarkers.

His research spans over 60 journal publications and 4 patents, with recent articles focusing on PET and MRI-based diagnostics, neuroinflammation in MS, and fMRI in psychiatric conditions. These studies bridge computational methods, neuroimaging, and clinical applications.

Scientific awards include:

• Mass General Brigham Excellence in Innovation Award (2017, 2018)
• Brigham and Women’s Hospital Pillar Award in Research & Innovation (2016)
• American Psychoanalytic Association Scientific Paper Prize (2011)

He has trained multidisciplinary students, research fellows, and clinician scientists, and co-founded a spin-out startup with his patented neuroimaging technologies.