Quantifying the intelligence of computer systems, is of equal importance to quantifying its absence.
I’ve spent my career designing intelligent systems that use statistical methods to forecast outcomes and support better decisions. I entered machine learning before its modern resurgence in 2012, beginning during my M.Sc. in Software Engineering, and have since applied these methods across a wide range of domains. My work has spanned medical technology at Enversion; insurance and logistics with Ecsact and Tryg Insurance; and energy commodity trading at Norlys Energy Trading.
Along the way, I earned a PhD from the Department of Electronic Systems at Aalborg University. My doctoral research took me deep into adversarial machine learning, sharpening my expertise in robustness, failure modes, and the practical limits of modern techniques such as deep learning.
I have recently my own algorithmic trading company, qnti.fyi, that trade financial power products in the US.