Mikey Shulman

Co-Founder

Lecturer

At kensho I: - lead a team of data scientists - explore and integrate disparate data to tackle some of the hardest problems in machine learning - build natural language processing systems for financially relevant text. - specialize in timeseries-based prediction - work closely with engineers to support state of the art infrastructure - extract reasons for and insights from predictions - productionize autonomous, continuously-updating models. * machine learning, common python machine learning tools

studied experimental implementations of quantum computing with solid state spins. • worked in a team of three on several simultaneous projects. • demonstrated first two-qubit operation for gate-defined semiconductor spin qubits • studied charge noise in semiconductors and used quantum bits to make unprecedentedly sensitive measurement of voltage noise • studied nuclear spin dynamics in semiconductors • applied novel Bayesian estimation techniques (Hamiltonian learning) in real-time to improve qubit performance • wired dilution refrigerator for broadband, multi-qubit experiments at milliKelvin temperatures. • contribute to and maintain open source data acquisition software in matlab ( https://code.google.com/p/special-measure/ , now migrated to https://github.com/qutech/special-measure)

Doctor of Philosophy (PhD) - Physics

Bachelor of Science (BS) - Applied Physics