Stanford University
Showing 1,441-1,450 of 1,976 Results
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Machiko Hosoki
Clinical Assistant Professor, Developmental-Behavioral Pediatrics
Current Research and Scholarly InterestsReading problem in bilingual children in elementary school
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Belal Hossain
Postdoctoral Scholar, Immunology and Rheumatology
BioI have a strong statistical background in analyzing and developing methods with observational and pragmatic clinical trial data. I also have experience in epidemiological and public health research, focusing on infectious and communicable diseases, non-communicable diseases, adult health, and maternal & child health research. My current research interests include biostatistics and epidemiology, with a particular focus on causal inference, machine learning, causal inference with machine learning, risk prediction modelling, causal mediation analysis, and complex surveys.
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Shaikh Tanvir Hossain
Affiliate, Medicine - Primary Care and Population Health
BioTanvir is currently a postdoctoral scholar at the Geldsetzer Lab, led by Dr. Pascal Geldsetzer. He completed his doctoral studies at the Faculty of Business and Economics, TU Dortmund, Germany, under the supervision of Prof. Carsten Jentsch, and is currently working with the team to apply causal inference and econometric methods to dementia research. His research interests lie at the intersection of Causal Inference, Econometrics, and Machine Learning.
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Hadi Hosseini
Associate Professor (Research) of Psychiatry and Behavioral Sciences (Interdisciplinary Brain Science Research)
Current Research and Scholarly InterestsOur lab’s research portfolio crosses multiple disciplines including computational neuropsychiatry, cognitive neuroscience, multimodal neuroimaging and neurocognitive rehabilitation. Our computational neuropsychiatry research mainly involves investigating alterations in the organization of connectome in various neurodevelopmental and neurocognitive disorders using state of the art neuroimaging techniques (fMRI, sMRI, DWI, functional NIRS) combined with novel computational methods (graph theoretical and multivariate pattern analyses).
The ultimate goal of our research is to translate the findings from computational neuropsychiatry research toward developing personalized interventions. We have been developing personalized interventions that integrate computerized cognitive rehabilitation, real-time functional brain imaging and neurofeedback, as well as virtual reality (VR) tailored toward targeted rehabilitation of the affected brain networks in patients with neurocognitive disorders.
