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  • Gordon Shepherd


    Professor Emeritus in the Department of Neuroscience

    Research Interests
    • Anatomy
    • Dendrites
    • Information Science
    • Interneurons
    • Nervous System
    • Neurons
    • Synapses
    • Pyramidal Cells
    • Dendritic Spines
    • Organisms
    • Phenomena and Processes

    Gordon M. Shepherd grew up in Iowa, and received his B.S. at Iowa State College in 1955, M.D. at Harvard in 1959, and D.Phil. at Oxford in 1962. After postdoctoral training at NIH, MIT and the Karolinska Institute he joined the faculty at Yale Medical School, where he is Professor of Neuroscience. He introduced the olfactory system as a model for analyzing the properties of neurons and synapses in the brain and the formation of neural images of olfactory molecules. His research has contributed to properties of neuronal dendrites and spines, olfactory processing, and development of the new fields of computational neuroscience, brain microcircuits, neuroinformatics, and neurogastronomy. He has trained over 70 graduate students, postdoctoral fellows and visiting scientists, and published over 280 articles and reviews, with continuous grant support since 1966. His books include The Synaptic Organization of the Brain (5 ed.), Neurobiology (3 ed.), Handbook of Brain Microcircuits, and Neurogastronomy; in the history of neuroscience are Foundations of the Neuron Doctrine, Creating Modern Neuroscience, and Mosso's Circulation of Blood in the Human Brain. He has been chief editor of the Journal of Neurophysiology and Journal of Neuroscience. Visiting positions have included the University of Pennsylvania, College de France, Simon Fraser University, Santa Fe Institute, Ecole Normale Superieure, Institute Pasteur, and Oxford University. He served as a Deputy Provost of Yale University, received honorary degrees from the Universities of Copenhagen and Pavia, and is a member of the American Academy of Arts and Sciences and past president of the Association for Chemoreception Sciences and the Cajal Club.


  • Michael Hines

    Senior Research Scientist in Neuroscience

    My interest is in the area of conceptual control of neural modeling. NEURON, a program we have developed and provide freely for Mac OS X, MS Windows, and UNIX, simplifies the creation and analysis of neural model for nonspecialists in numerical methods and programming. It is used by neuroscientists around the world to investigate cellular and network mechanisms that are involved in inborn and acquired disorders such as epilepsy, multiple sclerosis, and disorders of learning and memory, and how they are affected by therapeutic interventions such as medications and deep brain stimulation. With NEURON, investigators can simulate individual cells and networks of neurons on workstations, clusters, and massively parallel supercomputers. Model properties may include, but are not limited to, complex branching morphology, multiple channel types, inhomogeneous channel distribution, ionic diffusion, extracellular fields, electronic instrumentation, and artificial spiking neurons.

  • Robert McDougal

    Assistant Professor of Biostatistics

    Research Interests
    • Computer Simulation
    • Neurons
    • Computational Biology
    • Informatics

    Robert A. McDougal, Ph.D. is an Assistant Professor in the Health Informatics Division of the Department of Biostatistics. He is affiliated with the Computational Biology and Bioinformatics graduate program, the Yale Center for Medical Informatics, and the Center for Biomedical Data Science. His research focuses on developing methods for aggregating, computationally representing, analyzing, and modeling experimental data, with emphasis on understanding brain function and dysfunction.

    Dr. McDougal is currently a PI on two NIH grants: one which develops techniques to mine, visualize, and disseminate neuroscience information, and one that seeks to build efficient methods for simulating the interaction of intracellular and network dynamics in the brain. Recent collaborations include a project to detect trends in the use of animal models and interventions in the Alzheimer's literature, and a project to use computational modeling to interpret magnetoencephalography (MEG) data. As an elected member of the NeuroML Editorial Board, he helps design future standards for sharing computational neuroscience models.

    Dr. McDougal earned his Ph.D. in Mathematics from The Ohio State University in 2011. He did postdoctoral training at Yale in computer science, neurobiology, and medical informatics; during the later, he earned an MS in Computational Biology and Bioinformatics from Yale. From 2016 until joining the Department of Biostatistics in 2019, he was an Associate Research Scientist at Yale University in the Department of Neuroscience.

  • Perry Miller

    Professor Emeritus of Anesthesiology

    Research Interests
    • Anesthesiology
    • Information Science
    • Medical Informatics
    • Informatics

    Prof. Miller is the founder and previous Director of the Yale Center for Medical Informatics (YCMI) and of Yale’s Biomedical Informatics research training program. Biomedical Informatics is a discipline at the intersection of biomedicine and the computing and information sciences. The field focuses on the creative application of computers in clinical medicine, biomedical research, and medical education. In clinical medicine, the growing use of computers in patient care, education, and research makes the field increasingly important. In biomedical research, informatics is rapidly becoming a critical component of virtually all bioscience fields. Prof. Miller's research includes major initiatives in clinical, neuro-, and genome informatics, as well as interdisciplinary research at the intersections of these fields.

  • Associate Research Scientist in Neuroscience

    Research Interests
    • Computer Systems
    • Database Management Systems
    • Diagnosis, Computer-Assisted
    • Medical Informatics
    • Medical Records
    • Clinical Trial
    • Internet
    • Mobile Applications

    I have extensive experience analyzing scientific problems and devising adaptable solutions using informatics technologies. I have designed, developed, and supervised the construction of diverse informatics systems for industry, clinical medicine and the biosciences. I have played central, guiding role in a wide range of projects focused on the issues of clinical trials applications, data integration, and creation of flexible application architectures, mobile solutions, and Internet evolvable systems. These include devising and building: a) the EAV/CR data storage approach for the Human Brain Project, in use in the SenseLab Project, b) the Query Integrator System: a prototype ontology-mediated federated database integration approach, c) the DISCO federated data integration framework for the NIH Neuroscience blue print initiative, d) a phone-base reinforcement platform to increase medication adherence, and e) a mobile survey system for pain evaluation for VA patients. I have significantly been involved in several collaborative projects including: a) the TrialDB clinical trials management system (joined copyright holder), b) the VACS calculator, and c) The TRIS system, a generic Internet-driven worldwide SMS mobile application framework to design, and conduct ecological momentary assessments.