School of Medicine
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Postdoctoral Research Fellow, Radiology
Bio Marios is a post-doctoral researcher in Michael Zeineh's group, where he studies brain microstructure alterations in Alzheimer's disease, primarily using X-ray scattering and (diffusion) MRI.
He is a mechanical engineer by training (School of Mechanical Engineering, National Technical University of Athens, Greece). His thesis "Closed-loop force control of a haptic surgical simulator", was performed in the Control Systems Lab of Prof. Evangelos Papadopoulos.
In 2011 he obtained his MSc in Biomedical Engineering from ETH Zurich (Swiss Federal Institute of Technology). He performed his thesis in IBM Research on "Advanced pathology using the Microfluidic Probe", under Emmanuel Delamarche and Govind Kaigala, and was awarded the ETH medal for this work.
He completed his PhD in Bone Biomechanics in the lab of Prof. Ralph Muller in ETH Zurich, where he developed X-ray scattering-based methods to investigate bone microstructure in 3D, research that earned him the 2nd Student Award from the European Society for Biomechanics in 2015.
In 2016 he started using imaging methods to study brain microstructure, in the lab of Prof. Markus Rudin, in the Institute for Biomedical Engineering of ETH Zurich. There, he combined X-ray scattering with DTI, histology and CLARITY for studying rodent brain.
In 2017 he joined the MRI Biophysics group of Profs. Els Fieremans and Dmitry Novikov in New York University School of Medicine, to study human and mouse brain microstructure using X-ray scattering and diffusion MRI.
His research concerning brain imaging using X-ray scattering has been and is being supported by the Swiss National Science Foundation.
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
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.