Dr. AHLGREN John
Doctor of Philosophy (2014),
Department of Electronic Engineering, City U
After working as a Quant at Morgan Stanley for three years, I decided to move to a company that is closer in spirit to my academic roots. Facebook, just like CityU, provides an open environment for thinking creatively and thinking big.
My PhD research experiences help me as a Software Engineer and Machine Learning specialist at Facebook. There are always new things to learn, but the process is always the same underlying engineering principles: identify and understand a problem, learn what has already been done, think about new ways to solve the problem, come up with an idea, try, evaluate and iterate. The skillset lies in iterating fast and finding good solutions, something I started learning during my PhD in Machine Learning at CityU. (Feb 2018)