Applying artificial intelligence and computer vision to transform healthcare. Experienced software engineer with a diverse and ever-expanding toolbox (see details below).
Research interests: explainable AI (attribution-based and counterfactual methods for black-box & white-box models), machine learning for medicine (diagnosis, robotic surgery, and more), and computational neuroscience (comparing and contrasting deep neural networks with human vision, EEG analysis, and signal processing).
Let's connect! Feel free to email me at [email protected], or connnect with me on LinkedIn!