My role is that of a leader and thinking partner for technical and research efforts. To guide efforts, I do research, I explore technologies and I give lectures.
My work is in the area of systems software, data-intensive computing, and machine learning applied to the sciences. I utilize the interplay of novel hardware, programming languages, distributed algorithms, and other software architecture to introduce scalability and performance and to eliminate complexity. I explore ML as a scientific method for physical sciences, for example as an alternative to scientific simulation.
As a thought leader I always enjoy understanding and explaining current and past thinking. I participate in academic work as visiting faculty (I’m a visiting professor in Oxford), as a consultant (I am a consultant to the SKA radio telescope effort), and I have a team in my own company. Sometimes, I have been employed in technical executive positions to perform similar work. I work both on academic and commercial projects.