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Konrad P Kording, PhD
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Professor of Neuroscience
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Department: Neuroscience
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Graduate Group Affiliations
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Contact information
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Department of Bioengineering
3d University of Pennsylvania
Philadelphia, PA 19104
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3d University of Pennsylvania
Philadelphia, PA 19104
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Office: 7735423728
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Email:
kording@upenn.edu
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kording@upenn.edu
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Publications
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Education:
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23 ETH Zurich, 1997.
21 8 PhD 14 (Physics) c
40 Federal Institute of Technology, Zurich, 2001.
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21 c diploma c
23 ETH Zurich, 1997.
21 8 PhD 14 (Physics) c
40 Federal Institute of Technology, Zurich, 2001.
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Links
a5 Search PubMed for articles
68 The kordinglab code repository.
58 The Kording lab webpage.
52 Personal website
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Permanent linka5 Search PubMed for articles
68 The kordinglab code repository.
58 The Kording lab webpage.
52 Personal website
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334 The lab's transdisciplinary approach centers on causal inference in observational data: how we understand causality when randomized experiments aren't possible; and on understanding intelligence through the lens that deep learning only makes sense when viewed evolutionarily. Through Neuromatch, he has trained over 10,000 students globally, democratizing computational neuroscience education across 100+ countries. His Community for Rigor initiative develops platforms addressing research biases and improving scientific methodology. The lab's work spans neural data analysis methods, brain-computer interfaces, and machine learning applications in medicine, always maintaining methodological rigor and collaborative, data-driven approaches to understanding how brains compute and how to build better AI systems.
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Description of Clinical Expertise
262 Dr. Kording collaborates with clinicians to develop and critically evaluate machine learning applications in healthcare, specializing in causal inference methods for understanding treatment effects when randomized trials aren't feasible. His current work includes video-based health analysis systems for infant developmental assessment. He brings rigorous technical expertise combined with critical assessment of AI systems, helping clinical teams ensure that machine learning tools are validated, interpretable, and genuinely useful for patient care rather than just technically sophisticated.71
Description of Research Expertise
17a Dr. Kording serves as Co-Director of the CIFAR Learning in Machines & Brains Program. His research includes one of neuroscience's most ambitious goals: reverse engineering and simulating complete nervous systems, beginning with C. elegans, as a stepping stone toward understanding more complex brains and the relationship between neural structure and function.8
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334 The lab's transdisciplinary approach centers on causal inference in observational data: how we understand causality when randomized experiments aren't possible; and on understanding intelligence through the lens that deep learning only makes sense when viewed evolutionarily. Through Neuromatch, he has trained over 10,000 students globally, democratizing computational neuroscience education across 100+ countries. His Community for Rigor initiative develops platforms addressing research biases and improving scientific methodology. The lab's work spans neural data analysis methods, brain-computer interfaces, and machine learning applications in medicine, always maintaining methodological rigor and collaborative, data-driven approaches to understanding how brains compute and how to build better AI systems.
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f1 Segado M, Prosser LA, Duncan AF, Johnson MJ, Kording KP.: A Pre-Registered, Open Pipeline for Early Cerebral Palsy Risk Assessment from Infant Videos. medRxiv Jun 2025.
f5 Segado M, Prosser L, Duncan AF, Johnson MJ, Kording KP.: Data-Driven Early Prediction of Cerebral Palsy Using AutoML and interpretable kinematic features. medRxiv Feb 2025.
ff Sheth J, Collina JS, Piasini E, Kording KP, Cohen YE, Geffen MN.: The interplay of uncertainty, relevance and learning influences auditory categorization. Sci Rep 15: 3348, Jan 2025.
fa Collina JS, Erdil G, Xia M, Angeloni CF, Wood KC, Sheth J, Kording KP, Cohen YE, Geffen MN.: Individual-specific strategies inform category learning. Sci Rep 15: 2984, Jan 2025.
db IIT-Concerned; Klincewicz M, Cheng T, Schmitz M, Sebastián MÁ, Snyder JS.: What makes a theory of consciousness unscientific? Nat Neurosci 2025.
f8 Baker B, Liu T, Matelsky J, Parodi F, Mensh B, Krakauer JW, Kording K.: Computational kinematics of dance: distinguishing hip hop genres. Front Robot AI 11: 1295308, May 2024.
154 Brumback AC, Ngiam WXQ, Lapato DM, Allison DB, Daniels CL, Dougherty M, Hazlett HF, Kerr KL, Pusek S, Schrag N; NINDS workshop Catalyzing Communities of Research Rigor Champions.: Catalyzing communities of research rigour champions. Brain Commun 6: fcae120, Apr 2024.
101 Fakhar K, Dixit S, Hadaeghi F, Kording KP, Hilgetag CC.: Downstream network transformations dissociate neural activity from causal functional contributions. Sci Rep 14: 2103, Jan 2024.
117 Bailey DH, Jung AJ, Beltz AM, Eronen MI, Gische C, Hamaker EL, Kording KP, Lebel C, Lindquist MA, Moeller J, Razi A, Rohrer JM, Zhang B, Murayama K.: Causal inference on human behaviour. Nat Hum Behav 2024.
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Selected Publications
ab Parodi F, Kording KP, Platt ML.: Primate neuroethology: a new synthesis. Trends Cogn Sci Sep 2025.f1 Segado M, Prosser LA, Duncan AF, Johnson MJ, Kording KP.: A Pre-Registered, Open Pipeline for Early Cerebral Palsy Risk Assessment from Infant Videos. medRxiv Jun 2025.
f5 Segado M, Prosser L, Duncan AF, Johnson MJ, Kording KP.: Data-Driven Early Prediction of Cerebral Palsy Using AutoML and interpretable kinematic features. medRxiv Feb 2025.
ff Sheth J, Collina JS, Piasini E, Kording KP, Cohen YE, Geffen MN.: The interplay of uncertainty, relevance and learning influences auditory categorization. Sci Rep 15: 3348, Jan 2025.
fa Collina JS, Erdil G, Xia M, Angeloni CF, Wood KC, Sheth J, Kording KP, Cohen YE, Geffen MN.: Individual-specific strategies inform category learning. Sci Rep 15: 2984, Jan 2025.
db IIT-Concerned; Klincewicz M, Cheng T, Schmitz M, Sebastián MÁ, Snyder JS.: What makes a theory of consciousness unscientific? Nat Neurosci 2025.
f8 Baker B, Liu T, Matelsky J, Parodi F, Mensh B, Krakauer JW, Kording K.: Computational kinematics of dance: distinguishing hip hop genres. Front Robot AI 11: 1295308, May 2024.
154 Brumback AC, Ngiam WXQ, Lapato DM, Allison DB, Daniels CL, Dougherty M, Hazlett HF, Kerr KL, Pusek S, Schrag N; NINDS workshop Catalyzing Communities of Research Rigor Champions.: Catalyzing communities of research rigour champions. Brain Commun 6: fcae120, Apr 2024.
101 Fakhar K, Dixit S, Hadaeghi F, Kording KP, Hilgetag CC.: Downstream network transformations dissociate neural activity from causal functional contributions. Sci Rep 14: 2103, Jan 2024.
117 Bailey DH, Jung AJ, Beltz AM, Eronen MI, Gische C, Hamaker EL, Kording KP, Lebel C, Lindquist MA, Moeller J, Razi A, Rohrer JM, Zhang B, Murayama K.: Causal inference on human behaviour. Nat Hum Behav 2024.
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