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Reza Abbasi Asl, PhD

Title(s)Assistant Professor, Neurology
SchoolSchool of Medicine
Phone415-476-3199
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    Other Positions
    Title(s)UCSF Weill Institute for Neurosciences


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    Collapse Education and Training
    UC BerkeleyPhD05/2018Electrical Engineering and Computer Sciences
    UC BerkeleyMSc05/2018Electrical Engineering and Computer Sciences
    Sharif University of TechnologyMSc01/2013Biomedical Engineering
    Amirkabir University of TechnologyBSc09/2010Electrical Engineering
    Collapse Awards and Honors
    UC Berkeley, Department of Electrical Engineering and Computer Sciences2018Eli Jury Award
    UC Berkeley Graduate Division2017May J. Koshland Fund in Memory of H.A. Jastro Award
    Sharif University of Technology2010Excellence Award in Biomedical Engineering
    Amirkabir University of Technology2007Excellence Award in Electrical Engineering

    Collapse Overview 
    Collapse Overview
    The Abbasi Lab develops models and algorithms based on principles in statistics and machine learning to understand functions of the brain and related disorders. To discover and model the functions of population of neurons, the lab studies large-scale datasets with a wide variety of modalities such as electrophysiology, calcium imaging, electron microscopy, and gene expression. In the next step and in order to bridge our understanding of the brain to the diagnosis, Abbasi Lab builds tools to study and visualize large-scale neurological clinical datasets. The goal is to uncover the relationship between health records and disease symptoms, and help clinicians benefit from the information hidden in the data. This involves analyzing and visualizing medical images and structured and unstructured clinical documents.

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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.
    List All   |   Timeline
    1. Takasaki K, Abbasi-Asl R, Waters J. Superficial bound of the depth limit of 2-photon imaging in mouse brain. eNeuro. 2020 Jan 06. PMID: 31907211.
      View in: PubMed
    2. Murdoch WJ, Singh C, Kumbier K, Abbasi-Asl R, Yu B. Definitions, methods, and applications in interpretable machine learning. Proc Natl Acad Sci U S A. 2019 Oct 29; 116(44):22071-22080. PMID: 31619572.
      View in: PubMed
    3. R. Abbasi-Asl, M. Keshavarzi, D. Y. Chan.Brain-Computer Interface in Virtual Reality. 9th International IEEE EMBS Conference on Neural Engineering (NER). 2019.
    4. Arkhipov A, Gouwens NW, Billeh YN, Gratiy S, Iyer R, Wei Z, Xu Z, Abbasi-Asl R, Berg J, Buice M, Cain N, da Costa N, de Vries S, Denman D, Durand S, Feng D, Jarsky T, Lecoq J, Lee B, Li L, Mihalas S, Ocker GK, Olsen SR, Reid RC, Soler-Llavina G, Sorensen SA, Wang Q, Waters J, Scanziani M, Koch C. Visual physiology of the layer 4 cortical circuit in silico. PLoS Comput Biol. 2018 11; 14(11):e1006535. PMID: 30419013.
      View in: PubMed
    5. Reza Abbasi-Asl, Yuansi Chen, Adam Bloniarz, Michael Oliver, Ben DB Willmore, Jack L Gallant, Bin Yu.The DeepTune framework for modeling and characterizing neurons in visual cortex area V4. bioArxiv. 2018.
    6. Reza Abbasi-Asl, Aboozar Ghaffari, Emad Fatemizadeh.Robust Image Registration via Empirical Mode Decomposition. arXiv:1711.04247. 2018.
    7. Reza Abbasi-Asl, Bin Yu.Interpreting Convolutional Neural Networks Through Compression. NIPS 2017 Symposium on Interpretable Machine Learning. 2017.
    8. Reza Abbasi-Asl, Bin Yu.Structural Compression of Convolutional Neural Networks. arXiv:1705.07356. 2017.
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