Machine Learning for Biomedical Images

30 Aug 2018 in Teaching

I was a teaching assistant for the course of Thomas Walter named Machine Learning for Biomedical Images for the In-depth Tutorial with Practical Session at DS3 Data Science Summer School, August 2018: slides notebook. General talk on neural network methods for segmentation.

About

I am currently a post doctoral researcher looking for real world applications to which apply my skills in computer vision.

My main research interest concerns the development of statistical, machine learning and deep learning models for real world applications in computer vision. I am particularly interested in modelling complex, low sampled and high dimensional data. I have mostly applied my research to the bioimaging field and in particular to large 2D images (>60GB when uncompressed), 3D imaging and video data. Applying my research to these goal oriented projects and tackling inherent difficulties in the data has led to me to build a keen interest in transfer learning and learning from imperfect and noisy data, which includes weakly supervised learning and self-supervised learning.

I am very interest in collaborating on bioimage related topics and also in applying my research to new fields and to cross different input modalities such as sound, satellite imaging and gene expression data.

Please do not hesitate to reach out.

Machine Learning for Biomedical Images

Peter Jack Naylor

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