Manish Saggar

Associate Partner

Stanford, California, United States20 yrs 5 mos experience

Highly StableAI Enabled

Key Highlights

Expert in machine learning and computational modeling.
Developed innovative neuroimaging methods for social interaction studies.
Extensive experience in academia and research.

Stackforce AI infers this person is a Healthcare-focused expert in machine learning and neuroimaging research.

Contact

Skills

Core Skills

Machine LearningComputational ModelingNeuroscienceComputational PsychiatrySignal ProcessingSoftware EngineeringAlgorithms

Other Skills

NeuroimagingData AnalysisImage ProcessingMeditationMatlabLaTeXC++Statistical Data AnalysisBig Data AnalyticsSoftware DevelopmentPattern RecognitionData MiningAlgorithm DesignDesign PatternsArtificial Intelligence

About

I apply machine learning, signal processing, econometrics, and computational modeling to find and understand interesting patterns in huge datasets.

Experience

20 yrs 5 mos

Total Experience

5 yrs 3 mos

Average Tenure

1 yr 5 mos

Current Experience

Stanford university school of medicine

Associate Professor

Dec 2024 – Present · 1 yr 5 mos · Stanford, California, United States · On-site

Machine LearningComputational Modeling

Stanford university

Assistant Professor

Mar 2017 – Dec 2024 · 7 yrs 9 mos · Psychiatry & Behavioral Sciences

Stanford university school of medicine

2 roles

Instructor

May 2015 – Feb 2017 · 1 yr 9 mos

Research Associate

Sep 2014 – Apr 2015 · 7 mos

Developing computational methods to quantify and characterize the dynamics of resting state
brain activity
Developing novel methods of hyperscanning (scanning multiple persons at the same time) using Near Infrared Spectroscopy (NIRS) and functional Magnetic Resonance Imaging (fMRI), to understand the neural correlates of social interaction and team creativity

Hasso plattner institute of design at stanford ( d.school )

Teaching Faculty

Aug 2013 – Present · 12 yrs 9 mos · Stanford, California, United States

Stanford university

Postdoctoral Scholar

Sep 2011 – Aug 2014 · 2 yrs 11 mos · Psychiatry and Behavioral Sciences

Using computational approaches to explore differences in structural brain networks in individuals with fragile X syndrome.
Developing novel social stimuli and neuroimaging experiments to find the neural correlates of abnormal social interactions in fragile X syndrome.
In collaboration with the Design School at Stanford, we examined the neural correlates of creativity and its enhancement across lifespan.

University of texas at austin

Graduate Research Assistant

Sep 2008 – Sep 2011 · 3 yrs

Developed a computational framework to characterize cortical oscillations during meditation using high-density electroencephalogram (EEG) data, collected over a period of three months.
Developed methods to preprocess and classify event-related potential (ERP) data for sub- phenotyping of autism spectrum disorders in children.

Google

Software Engineering Intern

Jun 2008 – Aug 2008 · 2 mos

Worked with Google Analytics and Google Research (Image) team.

University of texas at austin

Graduate Research Assistant

Sep 2006 – May 2008 · 1 yr 8 mos

Acted as a consultant for eight neuroimaging (fMRI) studies
Helped researchers with data acquisition and analysis using neuroimaging tools like FSL, AFNI, SPM, and Freesurfer.
Setup and maintained super-computer access for doing advanced data analysis.
Served as web-master for IRC’s website and helped setup their network and analysis labs.

Google

Software Engineering Intern

Jun 2006 – Aug 2006 · 2 mos

Developed content-based image retrieval tools to improve product search

University of texas at austin

Teaching Assistant

Sep 2005 – May 2006 · 8 mos

For Software Engineering and Object Oriented Software Development courses.

Microsoft

Software Design Engineer Intern

Jan 2005 – Jun 2005 · 5 mos

Designed and implemented various tools for Visual Studio Team System 2005 (VSTS) using
C# and .NET technologies.
Developed an autonomous software build system for continuous integration (eXtreme Programming).
Implemented localization on various dialogs of VSTS using auto-layout guidelines.