Dhanya Parameshwaran
Data Scientist
SAP Labs
location_on India
Member since 3 years
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Dhanya Parameshwaran
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An engineer, scientist by training. My doctoral thesis was a compilation of questions addressing how various sensory elements come together to create form for an object. Eg. How to distinguish between a red square and blue circle when the brain gets all 4 inputs - red, blue, circle, square together. During the course of my PhD we realised often interpretations in neuroscience are made from a small number of data points from a similar socio-economic background, especially in human studies. This led me to doing a large scale EEG study from a wide range of people from urban and rural Tamil Nadu. The fine scale structure and resulting activity of the brain are largely shaped by experience, suggesting that the faster rate and complexity of experience offered by modern civilization may have significant impact on human brain dynamics.-
keyboard_arrow_downAI meets Neuroscience
Saikat SarkarSr. Consultant Manager - AA & Human Data ScienceIMS HealthDhanya ParameshwaranData ScientistSAP Labsschedule 3 years ago
480 Mins
Workshop
Advanced
This is a mixer workshop with lot of clinicians , medical experts , Neuroimaging experts ,Neuroscientists, data scientists and statisticians will come under one roof to bring together this revolutionary workshop.
The theme will be updated soon .
Our celebrity and distinguished presenter Srikanth Ramaswamy who is an advisor at Mysuru Consulting Group and also works Blue Brain Project at the EPFL will be delivering an expert talk in the workshop.
https://www.linkedin.com/in/ramaswamysrikanth/
{ This workshop will be a combination of panel discussions , expert talk and neuroimaging data science workshop ( applying machine learning and deep learning algorithms to Neuroimaging data sets}
{ We are currently onboarding several experts from Neuroscience domain --Neurosurgeons , Neuroscientists and Computational Neuroscientists .Details of the speakers will be released soon }
Abstract for the Neuroimaging Data Science Part of the workshop:
The study of the human brain with neuroimaging technologies is at the cusp of an exciting era of Big Data. Many data collection projects, such as the NIH-funded Human Connectome Project, have made large, high- quality datasets of human neuroimaging data freely available to researchers. These large data sets promise to provide important new insights about human brain structure and function, and to provide us the clues needed to address a variety of neurological and psychiatric disorders. However, neuroscience researchers still face substantial challenges in capitalizing on these data, because these Big Data require a different set of technical and theoretical tools than those that are required for analyzing traditional experimental data. These skills and ideas, collectively referred to as Data Science, include knowledge in computer science and software engineering, databases, machine learning and statistics, and data visualization.
The workshop covers Data analysis, statistics and data visualization and applying cutting-edge analytics to complex and multimodal neuroimaging datasets . Topics which will be covered in this workshop are statistics, associative techniques, graph theoretical analysis, causal models, nonparametric inference, and meta-analytical synthesis.
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