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Yuanning Li, PhD

Title(s)Postdoctoral Scholar, Neurological Surgery
SchoolSchool of Medicine
Phone415-502-7346
ORCID ORCID Icon0000-0003-3277-0600 Additional info
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    Collapse Biography 
    Collapse Education and Training
    Carnegie Mellon University, Pittsburgh, PA, USAPh.D.12/2018Neural Computation and Machine Learning
    Carnegie Mellon University, Pittsburgh, PA, USAM.S.12/2013Electrical and Computer Engineering
    Beihang University, Beijing, ChinaB.S.06/2011Electrical Engineering
    Collapse Awards and Honors
    National Institutes of Health2020Outstanding Scholar in Neuroscience Award Program (OSNAP)
    Society for Neuroscience2018Trainee Professional Development Award (TPDA)
    Carnegie Mellon University and University of Pittsburgh2015Multimodal Neuroimaging Training Program (MNTP)
    Carnegie Mellon University2012Carnegie Institute of Technology Dean’s Fellowship

    Collapse Overview 
    Collapse Overview
    Yuanning Li received Ph.D. in neural computation and machine learning from Carnegie Mellon University in 2018. He is now a postdoctoral scholar at the UCSF Center for Integrative Neuroscience, under the supervision of Dr. Edward Chang. His research interests primarily lie in the intersection between computational and cognitive neuroscience, particularly in developing and applying statistical machine learning methods to analyze neural data and to understand the mechanisms underlying human cognitive processes. He currently focuses on using ECoG and computational methods to study the neural basis of speech perception in human brain.

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    Collapse Publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help.
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    1. Li Y, Richardson RM, Ghuman AS. Posterior Fusiform and Midfusiform Contribute to Distinct Stages of Facial Expression Processing. Cereb Cortex. 2019 07 05; 29(7):3209-3219. PMID: 30124788.
      View in: PubMed
    2. Li Y, Richardson RM, Ghuman AS. Multi-Connection Pattern Analysis: Decoding the representational content of neural communication. Neuroimage. 2017 11 15; 162:32-44. PMID: 28813643.
      View in: PubMed
    3. Albalawi H, Li Y, Li X.Training Fixed-Point Classifiers for On-Chip Low-Power Implementation. ACM Transactions on Design Automation of Electronic Systems (TODAES). 2017; 22(4):1-18.
    4. Aminoff EM, Li Y, Pyles JA, Ward MJ, Richardson RM, Ghuman AS. Associative hallucinations result from stimulating left ventromedial temporal cortex. Cortex. 2016 10; 83:139-44. PMID: 27533133.
      View in: PubMed
    5. Hirshorn EA, Li Y, Ward MJ, Richardson RM, Fiez JA, Ghuman AS. Decoding and disrupting left midfusiform gyrus activity during word reading. Proc Natl Acad Sci U S A. 2016 07 19; 113(29):8162-7. PMID: 27325763.
      View in: PubMed
    6. Ghuman AS, Brunet NM, Li Y, Konecky RO, Pyles JA, Walls SA, Destefino V, Wang W, Richardson RM. Dynamic encoding of face information in the human fusiform gyrus. Nat Commun. 2014 Dec 08; 5:5672. PMID: 25482825.
      View in: PubMed
    7. Albalawi H, Li Y, Li X.Proceedings of the 51st Annual Design Automation Conference (DAC '14). Computer-aided design of machine learning algorithm: Training fixed-point classifier for on-chip low-power implementation. 2014; 1-6.
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