His main research interests are focused on developing and applying novel methods to address several key challenges in stochastic optical reconstruction microscopy (STORM). To this end, his research involves implementing a diverse set of methods that aim to enhance resolution, mitigate drift, improve fluorescent labelling workflows, and improve signal-to-noise ratio through denoising software. Through these methods, he hopes to enhance the performance of STORM and broaden its utility.