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Luke J Gosink

from Richland, WA
Age ~51

Luke Gosink Phones & Addresses

  • 1219 Jonagold Dr, Richland, WA 99352 (509) 420-4203
  • Sacramento, CA
  • Davis, CA
  • San Bruno, CA
  • Burlingame, CA

Work

Position: Medical Professional

Resumes

Resumes

Luke Gosink Photo 1

Scientist, Technical Team Lead

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Location:
Richland, WA
Industry:
Research
Work:
Pacific Northwest National Laboratory
Scientist, Technical Team Lead - Artificial Intelligence and Mathematical Modeling

Lawrence Berkeley National Laboratory 2004 - 2009
Graduate Student Research Assistant

Rabbit Semiconductor 2000 - 2004
Software Quality Assurance Manager

2000 - 2004
Scientist, Technical Team Lead
Education:
University of California, Davis 2004 - 2009
Doctorates, Doctor of Philosophy, Computer Science, Philosophy
University of California, Davis 1991 - 1996
Bachelors, Chemistry
Skills:
Machine Learning
R
Python
C++
Cuda
Statistical Modeling
Scientific Computing
Parallel Programming
Scientific Visualization
Technical Writing
Project Management
Proposal Writing
Technical Project Leadership
Opengl
Exploratory Data Analysis
Bayesian Statistics
Business Development
Opencl
Information Visualization
Interests:
Technical
Large Scale Statistical Modeling
Machine Learning
Luke Gosink Photo 2

Luke Gosink

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Location:
Sacramento, CA
Industry:
Computer Software
Education:
University of California, Davis 2004 - 2009
Luke Gosink Photo 3

Luke Gosink

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Publications

Us Patents

System And Method Of Designing Models In A Feedback Loop

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US Patent:
20130297538, Nov 7, 2013
Filed:
Apr 24, 2013
Appl. No.:
13/869290
Inventors:
Luke C. Gosink - Richland WA, US
Trenton C. Pulsipher - West Richland WA, US
Landon H. Sego - Richland WA, US
International Classification:
G06N 99/00
US Classification:
706 13
Abstract:
A method and system for designing models is disclosed. The method includes selecting a plurality of models for modeling a common event of interest. The method further includes aggregating the results of the models and analyzing each model compared to the aggregate result to obtain comparative information. The method also includes providing the information back to the plurality of models to design more accurate models through a feedback loop.

Visual Representation Of Data According To An Abstraction Hierarchy

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US Patent:
20130044114, Feb 21, 2013
Filed:
Aug 17, 2011
Appl. No.:
13/211587
Inventors:
Edwin R. Burtner - Richland WA, US
Shawn J. Bohn - Richland WA, US
Arthur H. Bleeker - West Richland WA, US
Luke J. Gosink - Richland WA, US
David S. Gillen - Kennewick WA, US
Assignee:
BATTELLE MEMORIAL INSTITUTE - Richland WA
International Classification:
G06T 11/20
US Classification:
345442
Abstract:
Visual representations having visual nodes that can each show up to two levels of an abstraction hierarchy of data, extracted elements of the data, and/or categories thereof, with the optional ability to explode the data, the extracted elements, and/or the categories into additional visual nodes provide capability for deeper composition exploration. Relationships among the data, the extracted elements, and/or the categories can be represented via lines within and across visual nodes. The visual representation can provide an user with awareness of different attributes of the data, the extracted elements, and/or the categories in context even for large, complex corpora of data. The representations of the data, the extracted elements, and/or the categories in the visual representation can be sorted, can depict relative size or quantity across various attributes, and can provide insight into relationships based on metadata and/or content.

Method Of Generating Features Optimal To A Dataset And Classifier

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US Patent:
20170004417, Jan 5, 2017
Filed:
Sep 16, 2016
Appl. No.:
15/268313
Inventors:
- Richland WA, US
Luke J. Gosink - Richland WA, US
Kenneth D. Jarman - Richland WA, US
Assignee:
BATTELLE MEMORIAL INSTITUTE - Richland WA
International Classification:
G06N 99/00
Abstract:
A method of generating features optimal to a particular dataset and classifier is disclosed. A dataset of messages is inputted and a classifier is selected. An algebra of features is encoded. Computable features that are capable of describing the dataset from the algebra of features are selected. Irredundant features that are optimal for the classifier and the dataset are selected.

Method Of Generating Features Optimal To A Dataset And Classifier

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US Patent:
20150242759, Aug 27, 2015
Filed:
Feb 21, 2014
Appl. No.:
14/186740
Inventors:
Paul J. Bruillard - West Richland WA, US
Luke J. Gosink - Richland WA, US
Kenneth D. Jarman - Richland WA, US
Assignee:
BATTELLE MEMORIAL INSTITUTE - Richland WA
International Classification:
G06N 99/00
G06N 3/12
Abstract:
A method of generating features optimal to a particular dataset and classifier is disclosed. A dataset of messages is inputted and a classifier is selected. An algebra of features is encoded. Computable features that are capable of describing the dataset from the algebra of features are selected. Irredundant features that are optimal for the classifier and the dataset are selected.
Luke J Gosink from Richland, WA, age ~51 Get Report