Tifenn received the M.S. degree in Nanosciences and Electronics from the University Paris-Saclay, France, in 2017. Tifenn is currently a Ph.D. student working under the supervision of Damien Querlioz.
His work focuses on designing intelligent memories for the internet of things using bio-inspired concepts as Bayesian approach to brain function or more classical neural network approaches. His main work is to use industrial tools for digital circuit design using hardware description language to manufacture an application-specific integrated circuit and to evaluate its performance.