Konrad Körding

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Konrad P. Körding
Bornc. 1974 (age 46–47)
Alma materETH Zurich
Spouse(s)Ioana Marinescu
Scientific career
InstitutionsUniversity of Pennsylvania
ThesisOptimization and Learning : from Microscopic Cell Properties to Natural Videos (2001)
Doctoral advisorRodney Douglas

Konrad Paul Körding (born c. 1974) is a German neuroscientist and professor at the University of Pennsylvania. He is known for his contributions to the fields of motor control, neural data methods, and computational neuroscience.


Kording obtained both a diploma degree and a PhD in physics at ETH Zurich in 1997 and 2001, respectively. He then worked as a postdoctoral fellow at the Collegium Helveticum in Zurich and at University College London, followed by a Heisenberg Fellow position at MIT.[1] He joined the faculty at Northwestern University and the Rehabilitation Institute of Chicago where he was a professor of physical medicine and rehabilitation, physiology, and applied mathematics.[2] In 2017, he joined the faculty at the University of Pennsylvania with joint appointments in the Department of Neuroscience and Department of Bioengineering.[1]

Scientific Contributions[edit]

Konrad Kording's research combines experimental methods with the application of computational principles. The main principle of his work is the idea of normative models and in particular Bayesian statistics. Some of his most controversial work[citation needed] is work on predicting the future success of scientists, leading to a calculator predicting the h-index 10 years into the future. His experimental work addresses motor learning and motor control, relating these phenomena to Bayesian ideas. Most recently, he has focused on methods of analyzing neural data and methods for obtaining large neural datasets (see Brain Initiative).


  1. ^ a b Ozio, Ron (10 May 2017). "Konrad Kording Appointed Penn Integrates Knowledge University Professor". Penn News. University of Pennsylvania. Retrieved 7 June 2017.
  2. ^ "Konrad Kording - CV" (PDF). Retrieved 7 June 2017.