Dr. Konrad Kording

Professor

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Biography

Konrad Kording is the Nathan Mossell University Professor in the Department of Bioengineering and Neuroscience at the University of Pennsylvania, as well as a CIFAR Fellow. His research combines neuroscience and machine learning to understand and predict sensorimotor behavior. Kording's work has significantly contributed to the development of computational models that elucidate the underlying mechanisms of neural processing and decision-making. He explores the intricacies of Bayesian decision theory and its applications to sensory integration and motor control. With over 200 articles published, Kording has addressed various aspects of learning algorithms and their implications in real-world scenarios, including mobile health monitoring and artificial intelligence systems. His interdisciplinary approach bridges cognitive science, neurotechnology, and statistical learning, presenting innovative insights into how neural architecture can inform computational designs. Kording is actively involved in mentoring students and postdoctoral researchers, investing in developing the next generation of scientists in the fields of neuroscience and machine learning.

Research Interests

Requirements for University of Pennsylvania

Doctorate Program
Requirements
GPA Requirement
Required:3.6
GRE General
Verbal
Required:162
Quantitative
Required:162
Overall
Required:162
GMAT
Total Score
Required:728
Overall
Required:728
TOEFL
Total
Required:115
Prerequisites
Bachelor's degree or equivalent Strong quantitative background
Application Checklist
  • Academic Transcripts
  • Letters of Recommendation (2-3)
  • Resume/CV
  • Statement of Purpose
  • Essays
Specialization Notes

Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.