Mikey Shulman

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)