Masoud Tafavvoghi
Job description
Masoud Tafavvoghi is a PhD candidate in computational pathology with the PhD project: Machine learning/statistical methods for histopathological images. Masoud is affiliated with the research group System Epidemiology.
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Research interests
Research interests
- Machine learning
- Deep learning
- computational pathology
- Medical imaging
- Bioinformatics
- Biostatistics
Teaching
- HEL-8002: Logistic Regression and Statistical Analysis of Survival Data
- HEL-8030: Applied Linear Regression Analysis
- HEL-8047: Statistical models, conclusions and uncertainty for scientific data analysis
- HEL-3006: Introduction to Epidemiology and Biostatistics
- HEL-3070: Biostatistics II
- MED-1501: Medicine 1st year of study (statistics)
- Supervising an MPH master student's summer project on histology images.
