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Erik X Andries

from Rio Rancho, NM
Age ~55
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Also known as:
Erik A Andries, Erik L Andries
Phone and address:
907 Palmas Altas Dr SE, Albuquerque, NM 87124
(505) 962-0461
Related to:
Somer Andries, 43Samantha Julius, 41Patrice Julius, 71Charles Julius, 77April Andries, 60
Connected to:
Austin J Andries, 33Denise Andries, 62Jacqueline A Andriesian, 81Kayla AndrieseWendy L Andries, 63Jeff D Andrieux, 37Patricia D Andrieu, 83Steven M Andrietta, 67Linda C Andrighetti, 116Matt P Andrighetti, 43

Erik Andries Phones & Addresses

  • 907 Palmas Altas Dr SE, Rio Rancho, NM 87124 (505) 962-0461
  • 322 Fairfield Ave, Lansing, MI 48906
  • 314 Sycamore St, Lansing, MI 48933
  • Gretna, LA
  • 541 Encanto Blvd, Phoenix, AZ 85003
  • Metairie, LA
  • Tempe, AZ
  • Katy, TX

Work

Company: Andries analytics Jun 2010 Position: Consultant: spectroscopic data analysis and chemometrics

Education

Degree: Doctorates, Doctor of Philosophy School / High School: The University of New Mexico 2000 to 2004 Specialities: Applied Mathematics

Skills

Statistics • Spectroscopy • Data Analysis • Chemometrics • Matlab • Mathematical Modeling • Bioinformatics • Algorithms • Programming • Data Mining • Numerical Analysis • Simulations • Science • Physics • Machine Learning • Modeling • Image Processing • Signal Processing • R&D

Industries

Higher Education

Resumes

Resumes

Erik Andries Photo 1

Consultant: Spectroscopic Data Analysis And Chemometrics

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Location:
Rio Rancho, NM
Industry:
Higher Education
Work:
Andries Analytics
Consultant: Spectroscopic Data Analysis and Chemometrics
Cnm - Central New Mexico Community College
Faculty
Inlight Solutions Nov 2006 - Aug 2008
Research Scientist
University of New Mexico Nov 2006 - Aug 2008
Visiting Research Scientist
Education:
The University of New Mexico 2000 - 2004
Doctorates, Doctor of Philosophy, Applied Mathematics
Skills:
Statistics
Spectroscopy
Data Analysis
Chemometrics
Matlab
Mathematical Modeling
Bioinformatics
Algorithms
Programming
Data Mining
Numerical Analysis
Simulations
Science
Physics
Machine Learning
Modeling
Image Processing
Signal Processing
R&D

Publications

Us Patents

Outcome Prediction And Risk Classification In Childhood Leukemia

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US Patent:
20090203588, Aug 13, 2009
Filed:
Jun 8, 2007
Appl. No.:
11/811436
Inventors:
Cheryl L. Willman - Albuquerque NM, US
Paul Helman - Albuquerque NM, US
Robert Veroff - Albuquerque NM, US
George S. Davidson - Albuquerque NM, US
Shawn B. Martin - Albuquerque NM, US
Susan R. Atlas - Albuquerque NM, US
Erik Andries - Rio Rancho NM, US
Huining Kang - Albuquerque NM, US
Jonathan J. Shuster - Gainesville FL, US
Xuefei Wang - Albuquerque NM, US
Richard C. Harvey - Placitas NM, US
David M. Haaland - Albuquerque NM, US
Jeffrey W. Potter - Albuquerque NM, US
International Classification:
A61K 38/17
C12N 15/12
C07H 21/04
C07K 14/47
A61K 31/711
A61P 35/02
C12N 5/10
C12N 15/85
C12Q 1/68
G01N 33/566
US Classification:
514 12, 536 235, 536 245, 530350, 4353201, 435 6, 435 71, 514 44, 435325
Abstract:
Genes and gene expression profiles useful for predicting outcome, risk classification, cytogenetics and/or etiology in pediatric acute lymphoblastic leukemia (ALL). OPAL1 is a novel gene associated with outcome and, along with other newly identified genes, represent a novel therapeutic targets.

Outcome Prediction And Risk Classification In Childhood Leukemia

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US Patent:
20060063156, Mar 23, 2006
Filed:
Dec 5, 2003
Appl. No.:
10/729895
Inventors:
Cheryl Willman - Albuquerque NM, US
Paul Helman - Albuquerque NM, US
Robert Veroff - Albuquerque NM, US
George Davidson - Albuquerque NM, US
Shawn Martin - Albuquerque NM, US
Susan Atlas - Albuquerque NM, US
Erik Andries - Rio Rancho NM, US
Huining Kang - Albuquerque NM, US
Jonathan Shuster - Gainesville FL, US
Xuefei Wang - Albuquerque NM, US
Richard Harvey - Placitas NM, US
David Haaland - Albuquerque NM, US
Jeffrey Potter - Albuquerque NM, US
International Classification:
C12Q 1/68
C07H 21/04
C12P 21/06
C12N 15/09
C07K 14/705
US Classification:
435006000, 435069100, 435320100, 435325000, 530350000, 536023200
Abstract:
Genes and gene expression profiles useful for predicting outcome, risk classification, cytogenetics and/or etiology in pediatric acute lymphoblastic leukemia (ALL). OPAL1 is a novel gene associated with outcome and, along with other newly identified genes, represent a novel therapeutic targets.

Systems And Methods For Qualitative Assessment Of Sports Performance

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US Patent:
20160263458, Sep 15, 2016
Filed:
Mar 11, 2016
Appl. No.:
15/067842
Inventors:
- Luxembourg, BE
Jeffrey Collins - Albuquerque NM, US
Mark Ries Robinson - Albuquerque NM, US
Petras Avizonis - Boston MA, US
Erik Andries - Albuquerque NM, US
Johann Ammerlahn - San Diego CA, US
Elena Allen - Albuquerque NM, US
Paul Loftsgard - San Diego CA, US
Adrey Dolgov - San Diego CA, US
International Classification:
A63B 69/32
A63B 24/00
Abstract:
Sensor systems and methods for quantitative assessment of sports performance are disclosed. In one embodiment, a boxing data server comprises a memory storing predetermined profiles of arm acceleration or rotation over time for one or more types of punches, a radio for communicating with one or more sensors on one or more boxers, and one or more processors. The one or more processors may be configured to receive, via the radio from the one or more sensors, one or more streams of sensor values indicating: (1) accelerations of a boxer's arm within a first range of acceleration, measured by a first acceleration sensor, (2) accelerations of a boxer's arm within a second range of acceleration, measured by a second acceleration sensor, and (3) rotation of the boxer's arm measured by a gyroscope sensor. The one or more processors may be configured to determine, based on the received sensor values from the first acceleration sensor, whether a punch landed but not to measure a force or velocity of the punch. The one or more processors may be configured to determine, based on the received sensor values from the second acceleration sensor, at least one of a force or a velocity of the punch but not to detect whether the punch landed. Additionally, the one or more processors may be configured to determine, based on comparison of variations in the rotation of the boxer's arm and on variations in the acceleration of the boxer's arm measured by the second acceleration sensor to known punch gestures, a type of the punch.
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Erik X Andries from Rio Rancho, NM, age ~55 Get Report