Stanford University
Showing 12,981-13,000 of 36,182 Results
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Hamed Honari
Postdoctoral Scholar, Psychiatry
Current Research and Scholarly InterestsMachine Learning, Neuroimaging, Computer Vision,Deep Learning, Signal Processing
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Alexander Honeyman
Postdoctoral Scholar, Earth System Science
BioI work at the intersections of data science, field work, laboratory experimentation, biogeochemistry, and microbial ecology. I was exposed to the issue of wildland fire through 10 years of experience as a volunteer firefighter / EMT in Colorado (fire / rescue / EMS). My current work involves investigating the geochemical character of wildfire smoke by hybridizing analyses of physical samples with various geospatial datasets and atmospheric particle transport models. I love working in environmental systems because they are complex, and offer numerous opportunities to blend the physical and computational sciences.
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Andrew Hong
Masters Student in Management Science and Engineering, admitted Autumn 2022
BioI study the intersection of machine learning and social sciences to better align tech with society and use computational methods to understand human behavior. My research focuses on building software and statistical methods to quantify fairness of various electoral voting systems. Now, I'm a Machine Learning Analyst in Google's Trust & Safety Team while finishing my Masters in Management Science & Engineering.
MS: Management Science & Engineering, concentration in computational social sciences
BA: Data Science & Social Systems, concentration in socio-political behavior analysis -
David Hong
Member, Maternal & Child Health Research Institute (MCHRI)
BioDr. Hong specializes in the treatment of pediatric patients with neurosurgical conditions, with additional specialty training in the treatment of pediatric spinal disorders, including scoliosis. He completed his residency in his home state of Michigan at the Detroit Medical Center, and completed fellowship training at Rady Children's Hospital in San Diego, before becoming a part of Stanford Children's Health.
His clinical interests include brain tumors, epilepsy surgery, idiopathic scoliosis, Chiari malformation, vascular conditions, concussion, and will treat all other conditions within the specialty. -
David S. Hong
Associate Professor of Psychiatry and Behavioral Sciences (Interdisciplinary Brain Science Research)
Current Research and Scholarly InterestsDr. Hong is a child and adolescent psychiatrist and clinician-scientist. His responsibilities span clinical care, teaching/mentorship, and research, with a unifying theme of advancing a developmental cognitive framework as applied to psychiatric conditions. Using this core premise, he work encompasses multiple domains: specialized clinical care, fellowship training, research mentorship, and elaborating the role of sex-specific determinants of development, one of the greatest contributors to individual developmental variation.
His lab investigates genetic and hormonal influences underlying sex differences in child psychiatric conditions. Sex has emerged as a critical variable driving differences in the phenomenology, course, and treatment of many mental health disorders. Unfortunately, an understanding of the biological mechanisms driving these effects are limited. By applying innovative neuroimaging and multiomic approaches, Dr. Hong seeks to provide a deeper understanding of the connection between sex-specific effects and complex psychiatric diseases. To do so, research in the Hong Lab focuses on the role of genes on the X and Y chromosomes, as well as circulating sex hormones on brain development, cognition, and behavior. The lab broadly aims to elucidate the changing nature of these mechanisms across various stages of development.
Another area of focus is the implementation of clinical informatics in child psychiatry and the development of digital mental health tools. As co-Director of the Mental Health Technology and Innovation Hub, Dr. Hong is helping to develop clinical and research infrastructure within the Department of Psychiatry and Behavioral Sciences to advance development of mobile mental health resources that will improve efficacy and access to mental health care.
