School of Medicine
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Professor of Radiology (Radiological Sciences Lab) and, by courtesy, of Psychology and of Electrical Engineering
Current Research and Scholarly Interests My present research is devoted to the advancement of functional magnetic resonance imaging sciences for applications in basic understanding of the brain in health and disease. We collaborate closely with departmental clinicians and with others in the school of medicine, humanities, and the engineering sciences.
Postdoctoral Research Fellow, Radiology
Bio I am an Aerospace engineer by training with a Ph.D. in Kinesiology (Neuroscience, Biomechanics, and Space Life Sciences curricular tracks). My Ph.D. research was in the area of Biomechanics and Motor Control of human movement, particularly about human posture control and locomotion in healthy as well as special populations, such as the elderly, patients, and astronauts. As part of my Ph.D., I worked at NASA Johnson Space Center's Neurosciences lab on various projects related to sensorimotor control issues that astronauts face during and after spaceflight.
Currently, in the Precision Health and Integrated Diagnostics (PHIND) Center in the Dept. of Radiology of the Stanford School of Medicine, I am part of the Pervasive Wellbeing Technology lab, where I am helping with several studies around wellbeing and stress management in the wild carried out in an unobtrusive way using sensors that already exist, like computer mice, touchpad, steering wheel of a car, etc.
In the recent past, in the Dept. of Neuroscience of Baylor College of Medicine (BCM) in Houston, I worked on predicting stress response using fMRI and physiological signals in veterans with PTSD, using machine learning. I also worked at the inter-disciplinary consortium of advanced motion performance (iCAMP) of Dept. of Surgery of BCM, where I helped with data analyses of several clinical studies related to using different types of wearables for supervised or unsupervised monitoring of daily physical activities in different populations (like older adults, patients who have had a sternotomy, etc.).
Neuroscience, biomechanics, vestibular stimulation, balance and locomotion, artificial gravity, motor control, sensory systems, human performance, sports science, wearable devices, digital health
Non-invasive stimulation (TMS, GVS), non-invasive brain monitoring (EEG, fMRI), structural-MRI, EMG, Force & Motion sensors (e.g., accelerometers, gyroscope etc.), wearable sensors, MATLAB, C++, Python, signal processing, machine learning, statistical modeling, controls and programming, system identification, human factors, multi-sensory interactions
Professor of Radiology (Musculoskeletal Imaging)
Current Research and Scholarly Interests My primary focus is application of new MR imaging technology to musculoskeletal problems. Current projects include: Rapid MRI for Osteoarthritis, Weight-bearing cartilage imaging with MRI, and MRI-based models of muscle. We are studying the application of new MR imaging techniques such as rapid imaging, real-time imaging, and short echo time imaging to learn more about biomechanics and pathology of bones and joints. I am also interested in functional imaging approaches using PET-MRI.
Andrea Gonzalez Montoro
Postdoctoral Research Fellow, Molecular Imaging Program at Stanford
Bio Dr. Gonzalez-Montoro's research interests involve the development of novel Positron Emission Tomography (PET) instrumentation for an accurate in vivo imaging of the metabolic processes and the study of diseasses in humans and small animals.
In addition to obtain a high efficiency of PET scanners when combined with MRI or CT scanners, my research focusses on instrumentation projects related to enhance the sensitivity and 3D spatial, and/or temporal resolutions.