Sasha is a postdoctoral reasearcher in the Computational and Biological Learning Lab (CBL) at Cambridge University, co-supervised by Profs. Guillaume Hennequin and Máté Lengyel and working on learning of context in artificial neural networks, its theory and implementation. More generally, Sasha is keen to understand how functionality emerges and remains stable in disordered systems. Before joining CBL, Sasha spent his time harnessing instabilities and nonlinearities both in his work as an Analog and RFIC designer at Intel and during his Master’s in the Physics of disordered systems at Technion. Later he earned a Ph.D. in theoretical neuroscience, followed by a postdoctoral project in visuomotor learning at Technion and Weizmann Institute respectively.