Joseph Makin, PhD

TitleAssociate Researcher
SchoolUCSF School of Medicine
DepartmentNeurological Surgery
Address675 Nelson Rising Lane
San Francisco CA 94158
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    Joseph Makin received his Ph.D. in electrical engineering and computer science from U.C. Berkeley in 2008, specializing in control theory. He is currently a postdoctoral researcher at the Center for Integrative Neuroscience, U.C. San Francisco. His interests lie at the intersection of control theory, machine learning, complex systems, and computational neuroscience. Currently his focus is on computational models of multisensory processing and motor control in cortical circuits.

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    1. Makin J, Dichter BK, Sabes PN. Learning to Estimate Dynamical State with Probabilistic Population Codes. PLoS Comput Biol. 2015 Nov; 11(11):e1004554. PMID: 26540152; PMCID: PMC4634970.
    2. Advances in Neural Information Processing Systems 27: Proceedings of the 2014 Conference. Sensory Integration and Density Estimation. 2015.
    3. Makin J, Narayanan S. A hybrid-system model of the coagulation cascade: simulation, sensitivity, and validation. J Bioinform Comput Biol. 2013 Oct; 11(5):1342004. PMID: 24131053.
      View in: PubMed
    4. Makin J, Fellows MR, Sabes PN. Learning multisensory integration and coordinate transformation via density estimation. PLoS Comput Biol. 2013 Apr; 9(4):e1003035. PMID: 23637588; PMCID: PMC3630212.
    5. Makin JG and Narayanan S. Proceedings of the 5th International Conference on Bioinformatics and Computational Biology (BICOB-2013) . A Hybrid-System Model of the Coagulation Cascade. 2013; 205-212.
    6. Makin JG and Narayanan S. Real-time control of human coagulation. IET Control Theory & Applications. 2012; 6(17):2630-2643.
    7. Makin JG and Molter LA. Proceedings of the Optical Fiber Conference. Generalized Switching, Splitting, and Multiplexing Operations Using Circular Arrays of Coupled Waveguides . 2003; 1:47-50.
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