Tatyana Sharpee

[3] In 2015, she received a National Science Foundation grant to study feature selectivity and invariance in deep neural architectures.

Her work has been focused on probing how our brains represent complex transformations of the same object to recognize it.

[5] The NSF grant also enabled her lab to study how the auditory system of the brain works based on large scale simulations of neural networks.

[4] This latter work not only has potential to improve the current hearing aid technology, but also could reveal therapeutic paths to treat a number of attention deficit and psychiatric disorders which depend on the corresponding system.

She then joined UCSD and the Salk Institute as faculty and has been working there since, supervising a number of graduate students in physics, neuroscience and quantitative biology.