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Philip Ka Hung Ma, 781219 E Helena Dr, Phoenix, AZ 85022

Philip Ma Phones & Addresses

1219 Helena Dr, Phoenix, AZ 85022   

Scottsdale, AZ   

Los Angeles, CA   

San Gabriel, CA   

Marina, CA   

Maricopa, AZ   

Work

Company: Palantir technologies 2012 Position: Forward deployed engineer

Education

School / High School: University of California- Los Angeles, CA 2004 Specialities: M.S. in Mathematics

Mentions for Philip Ka Hung Ma

Philip Ma resumes & CV records

Resumes

Philip Ma Photo 35

Philip Ma

Philip Ma Photo 36

Philip Ma

Skills:
Microsoft Office, Management, Research, Microsoft Word, Powerpoint, Microsoft Excel, Sales, Leadership, Training
Philip Ma Photo 37

Philip Ma

Philip Ma Photo 38

Philip Ma

Philip Ma Photo 39

Philip Ma - Hawthorne, CA

Work:
Palantir Technologies 2012 to 2000
Forward Deployed Engineer
Advanced Concepts and Technology (ACT) - El Segundo, CA 2007 to 2007
Senior Systems Engineer
Advanced Concepts and Technology (ACT) - El Segundo, CA 2003 to 2007
Multi-Disciplined Engineer
Education:
University of California - Los Angeles, CA 2004 to 2006
M.S. in Mathematics
California Polytechnic University 1998 to 2002
B.S. in Mathematics

Publications & IP owners

Us Patents

Biomarkers For Diagnosing Alzheimer's Disease

US Patent:
2022026, Aug 18, 2022
Filed:
Nov 3, 2021
Appl. No.:
17/518016
Inventors:
- Redwood City CA, US
Ryan BENZ - Huntington Beach CA, US
Asim SIDDIQUI - San Francisco CA, US
Philip MA - San Jose CA, US
International Classification:
G01N 33/543
G01N 33/551
G01N 33/68
Abstract:
Disclosed herein are compositions, systems, and methods for identifying neurological diseases from biological sample analysis. A biological sample from a subject may be contacted to a particle to form a biomolecule corona, which may contain a subset of biomolecules from the biological sample and which can have utility for diagnosing a neurological disease state. Further disclosed herein are machine learning algorithms and trained classifiers for distinguishing neurological disease states based on biological data.

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