Sign In

Jerker Nordh

Principal Machine Learning Engineer / Data Science Tech Lead

Jerker Nordh is a highly skilled individual with a PhD in Automatic Control from Lund University. His expertise lies in Bayesian inference for nonlinear models using particle methods and Markov chain Monte Carlo, which led to the creation of pyParticleEst, an open source software framework in Python. Apart from his academic achievements, Jerker Nordh also has a background in software development for embedded systems, including experience with low-level software like Linux device drivers.

Jerker Nordh's educational background includes a Doctor of Philosophy (PhD) in Automatic Control and a Master of Science (MSc) in Engineering Physics from Lund University. He also completed his upper secondary school education with a focus on Natural Science and bilingual education at Pauli Tekniska Läroverk.

Throughout his career, Jerker Nordh has held various positions in prestigious organizations. He served as the Principal Machine Learning Engineer, Data Science Tech Lead, Senior Data Scientist, and Data Scientist at King. Prior to this, he was a PhD Student in the Department of Automatic Control at Lund University. Jerker Nordh has also worked as a Consultant in embedded systems and automatic control at ÅF AB, a Developer in low-level audio at ST-Ericsson, a Developer/Summer intern at Axis Communications, and a Software Developer at Telavox.

Jerker Nordh
Add to my network

Location

Greater Malmö Metropolitan Area