Continuation of work done during PhD, with additional paper submissions and improvements to software and analysis methods.

I worked on large-scale single cell imaging based methods in microbiology. The work focused on expanding three different tools for various assays in microbiology, namely: image processing (deep learning/machine learning) , microfluidics (lithography, etching, e-beam, etc), microscopy (single molecules, single-cells, optical traps). Image processing focused on semantic segmentation, object tracking, various classification problems on large scale datasets for real-time analysis. Microfluidics involved design and fabrication of silicon wafers in clean room and replicating them into PDMS chips to be used in single-cell methods.Microscopy work involved working with different imaging modalities such as phase-contrast, fluorescence, single-molecule imaging and optical traps.

Master thesis on developing fluidic based diagnostic prototype for agglutination based blood-grouping assay at BioRad.