Konrad P Kording, PhD
University of Pennsylvania
Philadelphia, PA 19104
ETH Zurich, 1997.
Federal Institute of Technology, Zurich, 2001.
Description of Clinical ExpertiseDr Kording collaborates with many faculty asking medical questions. His focus is generally on how machine learning can solve new classes of problems. He is a specialist on discovering how machine learning can give seemingly right but misleading answers.
Description of Research ExpertiseDr. Kording's research has one single focus, data that matters. Early research in the lab focused on computational neuroscience and in particular movement. But as the approaches matured, the focus has more been on discovering ways in which new data sources as well as emerging data analysis can enable awesome possibilities. One focus is on deep learning and its neural implementation. The other current focus is on Causality in Data science applications - how do we know how things work if we can not randomize? Our style of working is transdisciplinary, we collaborate on virtually every project.
Selected PublicationsJoshua I. Glaser, Raeed H. Chowdhury, Matthew G. Perich, Lee E. Miller, Konrad P. Kording: Machine learning for neural decoding. arXiv.org. Cornell University, 1708(00909), Aug 2017.
Vilares Iris, Kording Konrad P: Dopaminergic Medication Increases Reliance on Current Information in Parkinson's Disease. Nature human behaviour 1(8): 0129, Aug 2017.
Wu Jing, de Paz Alexandra, Zamft Bradley M, Marblestone Adam H, Boyden Edward S, Kording Konrad P, Tyo Keith E J: DNA binding strength increases the processivity and activity of a Y-Family DNA polymerase. Scientific reports 7(1): 4756, Jul 2017.
Orianna DeMasi, Konrad Kording, Benjamin Recht: Meaningless comparisons lead to false optimism in medical machine learning. arXiv.org. Cornell University, 1707(06289), Jul 2017.
Johnson Reva E, Kording Konrad P, Hargrove Levi J, Sensinger Jonathon W: EMG Versus Torque Control of Human-Machine Systems: Equalizing Control Signal Variability Does not Equalize Error or Uncertainty. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society 25(6): 660-667, Jun 2017.
Xiaojian Li, Naoki Yamawaki, John Martin Barrett, Konrad P. Kording, Gordon M. G. Shepherd: Corticocortical signaling drives activity in a downstream area rapidly and scalably. bioRxiv. Cold Spring Harbor Laboratory, 154914, Jun 2017.
Crevecoeur Frédéric, Kording Konrad P: Saccadic suppression as a perceptual consequence of efficient sensorimotor estimation. eLife 6, May 2017.
Saeb Sohrab, Lonini Luca, Jayaraman Arun, Mohr David C, Kording Konrad P: The need to approximate the use-case in clinical machine learning. GigaScience 6(5): 1-9, May 2017.
Little Max A, Varoquaux Gael, Saeb Sohrab, Lonini Luca, Jayaraman Arun, Mohr David C, Kording Konrad P: Using and understanding cross-validation strategies. Perspectives on Saeb et al. GigaScience 6(5): 1-6, May 2017.
Cybulski Thaddeus R, Boyden Edward S, Church George M, Tyo Keith E J, Kording Konrad P: Nucleotide-time alignment for molecular recorders. PLoS computational biology 13(5): e1005483, May 2017.