 Reza Abbasi Asl, PhD
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| Title(s) | Assistant Professor, Neurology |
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| School | School of Medicine |
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| Phone | 415-476-3199 |
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| vCard | Download vCard |
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| Title(s) | UCSF Weill Institute for Neurosciences |
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 Biography | UC Berkeley | PhD | 05/2018 | Electrical Engineering and Computer Sciences | | UC Berkeley | MSc | 05/2018 | Electrical Engineering and Computer Sciences | | Sharif University of Technology | MSc | 01/2013 | Biomedical Engineering | | Amirkabir University of Technology | BSc | 09/2010 | Electrical Engineering |
| UC Berkeley, Department of Electrical Engineering and Computer Sciences | 2018 | | Eli Jury Award | | UC Berkeley Graduate Division | 2017 | | May J. Koshland Fund in Memory of H.A. Jastro Award | | Sharif University of Technology | 2010 | | Excellence Award in Biomedical Engineering | | Amirkabir University of Technology | 2007 | | Excellence Award in Electrical Engineering |
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.
ORNG Applications Bibliographic
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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.
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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.
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R. Abbasi-Asl, M. Keshavarzi, D. Y. Chan.Brain-Computer Interface in Virtual Reality. 9th International IEEE EMBS Conference on Neural Engineering (NER). 2019.
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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.
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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.
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Reza Abbasi-Asl, Aboozar Ghaffari, Emad Fatemizadeh.Robust Image Registration via Empirical Mode Decomposition. arXiv:1711.04247. 2018.
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Reza Abbasi-Asl, Bin Yu.Interpreting Convolutional Neural Networks Through Compression. NIPS 2017 Symposium on Interpretable Machine Learning. 2017.
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Reza Abbasi-Asl, Bin Yu.Structural Compression of Convolutional Neural Networks. arXiv:1705.07356. 2017.
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