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Manish Saggar

age ~41

from Palo Alto, CA

Manish Saggar Phones & Addresses

  • Palo Alto, CA
  • Mountain View, CA
  • Sunnyvale, CA
  • Austin, TX

Work

  • Company:
    Stanford university
    Sep 2011
  • Address:
    Psychiatry and Behavioral Sciences
  • Position:
    Postdoctoral scholar

Education

  • Degree:
    Ph.D.
  • School / High School:
    The University of Texas at Austin
    2005 to 2011
  • Specialities:
    Computer Science

Skills

Machine Learning • Signal Processing • Algorithms • Software Engineering • Computer Science • Matlab • C++ • Neuroscience • Mathematical Modeling • Latex • Neuroimaging • Meditation • Data Mining • Artificial Intelligence • Software Development • Image Processing • Computational Modeling • Neural Networks • Awesomeness • Pattern Recognition • Algorithm Design • Design Patterns • R • C • Python • Computational Psychiatry • Cognitive Science • Statistical Data Analysis • Big Data Analytics

Languages

English • Hindi • Punjabi

Ranks

  • Certificate:
    R Programming

Interests

Science and Technology • Education • Arts and Culture • Health

Industries

Research

Us Patents

  • Systems And Methods For Mapping Neuronal Circuitry And Clinical Applications Thereof

    view source
  • US Patent:
    20220365157, Nov 17, 2022
  • Filed:
    May 16, 2022
  • Appl. No.:
    17/663654
  • Inventors:
    - Stanford CA, US
    Manish Saggar - Stanford CA, US
  • Assignee:
    The Board of Trustees of the Leland Stanford Junior University - Stanford CA
  • International Classification:
    G01R 33/48
    G06T 7/00
    G06T 7/50
    A61B 5/00
    G06K 9/62
    A61B 5/16
    G01R 33/56
    A61B 5/055
  • Abstract:
    Systems and methods for mapping neuronal circuitry in accordance with embodiments of the invention are illustrated. One embodiment includes a method for generating a neuronal shape graph, including obtaining functional brain imaging data from an imaging device, where the functional brain imaging data includes a time-series of voxels describing neuronal activation over time in a patient's brain, lowering the dimensionality of the functional brain imaging data to a set of points, where each point represents the brain state at a particular time in the timeseries, binning the points into a plurality of bins, clustering the binned points, and generating a shape graph from the clustered points, where nodes in the shape graph represent a brain state and edges between the nodes represent transitions between brain states.

Resumes

Manish Saggar Photo 1

Assistant Professor

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Location:
Chicago, IL
Industry:
Research
Work:
Stanford University - Psychiatry and Behavioral Sciences since Sep 2011
Postdoctoral Scholar

University of Texas at Austin Sep 2008 - Sep 2011
Graduate Research Assistant

Google Jun 2008 - Aug 2008
Software Engineering Intern

University of Texas at Austin Sep 2006 - May 2008
Graduate Research Assistant

Google Jun 2006 - Aug 2006
Software Engineering Intern
Education:
The University of Texas at Austin 2005 - 2011
Ph.D., Computer Science
The University of Texas at Austin 2005 - 2009
M.S., Computer Science
Indian Institute of Information Technology 2001 - 2005
B.Tech., Information Technology
Skills:
Machine Learning
Signal Processing
Algorithms
Software Engineering
Computer Science
Matlab
C++
Neuroscience
Mathematical Modeling
Latex
Neuroimaging
Meditation
Data Mining
Artificial Intelligence
Software Development
Image Processing
Computational Modeling
Neural Networks
Awesomeness
Pattern Recognition
Algorithm Design
Design Patterns
R
C
Python
Computational Psychiatry
Cognitive Science
Statistical Data Analysis
Big Data Analytics
Interests:
Science and Technology
Education
Arts and Culture
Health
Languages:
English
Hindi
Punjabi
Certifications:
R Programming
Exploratory Data Analysis
Real-Time Web With Node.js
Coursera
Code School

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