Welcome

I am a multidisciplinary engineer with extensive experience in energy systems, nuclear power, and data science. I hold degrees in computer science, electrical engineering, mechanical engineering, and business. I’ve founded innovative teams like the Digital Intelligence group at Fluence Energy to integrate machine learning into grid-scale energy storage, and led critical initiatives such as the StuxNet response for the nuclear Navy.

I am seeking a PhD to apply my knowledge of artifical intelligence to model perception in the human visual system. Recent advances in neural network training methods, architectures, and fundamental neural units, are revolutionizing our own understanding of the human brain, and allowing us to probe our understanding of subjective experience, perceptual diversity, and human brain neural architectures. (CV)