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Gustavo P Sudre

from Washington, DC
Age ~41
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Also known as:
Gustavo Pittella Sudre
Phone and address:
1417 Chapin St NW APT 408, Washington, DC 20009
Related to:
Lucille S Bucholtz, 98Fisher EberleConnie J Eberle, 78Kimberlee R Eberle, 42Charles W Eberle, 79
Connected to:
Daniel Sudre, 63Pierre J Sudre, 46Kaylene L Sudrla, 54Terry J Sudrla, 64Jiraporn K Sudsanguan, 81Nancy J Sudsina, 65Rachael A Sudtelgte, 43Brittany J Sudul, 35Jeanette M Sudul, 50Gopal R Sudula, 49

Gustavo Sudre Phones & Addresses

  • 1417 Chapin St NW APT 408, Washington, DC 20009
  • 5590 Hampton St, Pittsburgh, PA 15206 (412) 404-2999
  • 5590 Hampton St APT 1, Pittsburgh, PA 15206 (412) 404-2999
  • Lawrence, KS
  • 2337 Ashmead Pl NW, Washington, DC 20009 (412) 404-2999

Work

Company: National institutes of health Jan 2013 Address: Washington D.C. Metro Area Position: Postdoctoral irta fellow, human genome research institute

Education

Degree: PhD School / High School: Carnegie Mellon University 2009 to 2013 Specialities: Neural Computation

Skills

Computational Neuroscience • Neural Networks • Machine Learning • Pattern Recognition • Algorithms • Neuroscience • Data Mining • Fmri • Linux • Eeg • C • Perl • Latex • Image Processing • Signal Processing • Artificial Intelligence • Mathematical Modeling • Testing • Biomedical Engineering • R • Matlab • Experimentation • Statistics • Scientific Writing • Python • Data Analysis

Languages

Portuguese

Interests

Cognitive Computing • Neural Networks • Soccer • Belief Propagation • Eating Chocolate • Knowledge Representation • See 7 • Aikido • Ballroom Dancing • Brain Machine Interfaces • Human Cognition • Functional Imaging • Volleyball • Ping Pong • Theoretical Neuroscience • Neural Engineering • Meg • Bayesian Networks • Neural Prosthesis • Yoga • Computational Neuroscience • See Less • Machine Learning • Pattern Recognition

Industries

Research

Resumes

Resumes

Gustavo Sudre Photo 1

Staff Scientist

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Location:
1426 Alumni Pl, Lawrence, KS 66044
Industry:
Research
Work:
National Institutes of Health - Washington D.C. Metro Area since Jan 2013
Postdoctoral IRTA Fellow, Human Genome Research Institute
Carnegie Mellon University Jan 2009 - Dec 2012
Graduate Student
University of Pittsburgh Aug 2006 - Dec 2008
Graduate Student
University of Kansas Aug 2005 - Aug 2006
Student Research Assistant
University of Kansas Jan 2005 - Aug 2006
Student Research Assistant
Education:
Carnegie Mellon University 2009 - 2013
PhD, Neural Computation University of Pittsburgh 2006 - 2011
Master of Science (MS), Bioengineering and Biomedical Engineering University of Kansas 2002 - 2006
BS, Computer Science
Skills:
Computational Neuroscience
Neural Networks
Machine Learning
Pattern Recognition
Algorithms
Neuroscience
Data Mining
Fmri
Linux
Eeg
C
Perl
Latex
Image Processing
Signal Processing
Artificial Intelligence
Mathematical Modeling
Testing
Biomedical Engineering
R
Matlab
Experimentation
Statistics
Scientific Writing
Python
Data Analysis
Interests:
Cognitive Computing
Neural Networks
Soccer
Belief Propagation
Eating Chocolate
Knowledge Representation
See 7
Aikido
Ballroom Dancing
Brain Machine Interfaces
Human Cognition
Functional Imaging
Volleyball
Ping Pong
Theoretical Neuroscience
Neural Engineering
Meg
Bayesian Networks
Neural Prosthesis
Yoga
Computational Neuroscience
See Less
Machine Learning
Pattern Recognition
Languages:
Portuguese

Publications

Us Patents

Brain Wave Analysis Of Human Brain Cortical Function

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US Patent:
20230107435, Apr 6, 2023
Filed:
Oct 6, 2022
Appl. No.:
17/960901
Inventors:
- Unadilla NV, US
Gustavo P. Sudre - Washington DC, US
International Classification:
A61B 5/00
A61B 5/372
A61B 5/377
A61B 5/384
G16H 20/10
Abstract:
A system may access electroencephalography (EEG) data of a subject, the EEG data including responses of the subject to an activation procedure. A system may analyze the EEG data including a plurality of epochs corresponding to the responses to identify first peaks, second peaks, and third peaks in one or more epochs. A system may determine values of a parameter in the plurality of epochs, the parameter being a characteristic of the first peak, the second peak, and/or the third peak. A system may generate a visual representation of the EEG data of the subject, the visual representation including an illustration of the first peak, the second peak and/or the third peak of a representative epoch or a heatmap compiled from the plurality of epochs, and the visual representation further including a graphical representation of the parameter that is presented as evidence of whether the subject is cognitively impaired.

Methods And Magnetic Imaging Devices To Inventory Human Brain Cortical Function

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US Patent:
20200330024, Oct 22, 2020
Filed:
Jul 1, 2020
Appl. No.:
16/919094
Inventors:
- Unadilla NY, US
Gustavo P. Sudre - Washington DC, US
International Classification:
A61B 5/00
A61B 5/04
A61B 5/055
Abstract:
Techniques are described for determining cognitive impairment, an example of which includes accessing a set of epochs of magnetoencephalography (MEG) data of responses of a brain of a test patient to a plurality of auditory stimulus events; processing the set of epochs to identify parameter values one or more of which is based on information from the individual epochs without averaging or otherwise collapsing the epoch data. The parameter values are input into a model that is trained based on the parameters to determine whether the test patient is cognitively impaired.

Methods And Magnetic Imaging Devices To Inventory Human Brain Cortical Function

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US Patent:
20200321124, Oct 8, 2020
Filed:
Apr 3, 2020
Appl. No.:
16/839290
Inventors:
- Unadilla NY, US
Gustavo P. Sudre - Washington DC, US
International Classification:
G16H 50/20
G06N 20/00
G06K 9/62
A61B 5/00
A61B 5/0484
Abstract:
Techniques are described for determining cognitive impairment, an example of which includes accessing a set of epochs of magnetoencephalography (MEG) data of responses of a brain of a test patient to a plurality of auditory stimulus events; processing the set of epochs to identify parameter values one or more of which is based on information from the individual epochs without averaging or otherwise collapsing the epoch data. The parameter values are input into a model that is trained based on the parameters to determine whether the test patient is cognitively impaired. Graphical user interfaces are described for presenting MEG epoch data and a score that correlates to a likelihood of the test individual being cognitively impaired.

Systems And Processes For Triaged Data Display

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US Patent:
20200005917, Jan 2, 2020
Filed:
Jun 27, 2019
Appl. No.:
16/455187
Inventors:
John P. FORD - Unadilla NY, US
Gustavo P. SUDRE - Washington DC, US
International Classification:
G16H 15/00
G16H 10/60
G16H 80/00
A61B 5/00
Abstract:
A triage process includes a computer directing a user triaged data display to appear on a user display monitor of a designated user. The process also includes the computer prompting the designated user through the user triaged data display to initiate a triage task associated with a report appearing on the user triaged data display. The process further includes the computer prompting the designated user through the user triaged data display to assign the triage task to a triage partner. The process additionally includes the computer directing an alert message associated with the triage task to appear as part of a partner triaged data display on a partner display monitor of the triage partner based on inputs from the designated user. A triaged data display system includes a display monitor and a computer operatively connected to the display monitor. The computer is configured to implement a triage process.

Methods And Magnetic Imaging Devices To Inventory Human Brain Cortical Function

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US Patent:
20190099101, Apr 4, 2019
Filed:
Oct 3, 2018
Appl. No.:
16/151105
Inventors:
- Unadilla NY, US
Gustavo P. Sudre - Washington DC, US
International Classification:
A61B 5/04
A61B 5/00
G01R 33/48
G01R 33/32
Abstract:
Techniques are described for determining cognitive impairment, an example of which includes accessing a set of epochs of magnetoencephalography (MEG) data of responses of a brain of a test patient to a plurality of auditory stimulus events; processing the set of epochs to identify parameter values one or more of which is based on information from the individual epochs without averaging or otherwise collapsing the epoch data. The parameter values are input into a model that is trained based on the parameters to determine whether the test patient is cognitively impaired.

Methods And Magnetic Imaging Devices To Inventory Human Brain Cortical Function

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US Patent:
20170281071, Oct 5, 2017
Filed:
Mar 28, 2017
Appl. No.:
15/472130
Inventors:
- Unadilla NY, US
Gustavo P. Sudre - Washington DC, US
International Classification:
A61B 5/00
A61B 5/0484
A61B 5/04
Abstract:
Techniques are described for determining cognitive impairment, an example of which includes accessing a set of epochs of magnetoencephalography (MEG) data of responses of a brain of a test patient to a plurality of auditory stimulus events; processing the set of epochs to identify parameter values one or more of which is based on information from the individual epochs without averaging or otherwise collapsing the epoch data. The parameter values are input into a model that is trained based on the parameters to determine whether the test patient is cognitively impaired.
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Gustavo P Sudre from Washington, DC, age ~41 Get Report