SURF Mentoring

Potential projects/topics: Improving safety and reliability of machine learning systems in the wild, specifically in medical imaging and other high risk settings. Keywords: Uncertainty Quantification; Medical Imaging; Predictive Inference; Image Reconstruction; Computer Vision; Generative models

Potential skills gained: Understanding, coding and training machine learning models; Understanding of statistics and predictive inference; Understanding of medical imaging systems and its limitations

Required qualifications or skills: Basic understanding and interest in statistics and machine learning, good coding skills preferred. Bonus: understanding how to use deep learning frameworks (i.e. pytorch)

Direct mentor: Graduate Student