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Julia Black Ling, 382434 Sharon Oaks Dr, Menlo Park, CA 94025

Julia Ling Phones & Addresses

Menlo Park, CA   

30 The Uplands, Berkeley, CA 94705    510-6553585   

Redwood City, CA   

San Mateo, CA   

Oakland, CA   

Fremont, CA   

Columbus, OH   

Stanford, CA   

Wilmington, OH   

Work

Company: Chinese newcomers service center Address: 777 Stockton St Ste 104, Walnut Creek, CA 94595 Phones: 925-9887700 Position: Executive director Industries: Hospital and Medical Service Plans

Mentions for Julia Black Ling

Julia Ling resumes & CV records

Resumes

Julia Ling Photo 32

Julia Ling

Location:
San Francisco Bay Area
Industry:
Semiconductors
Julia Ling Photo 33

Chief Technology Officer

Location:
760 Bair Island Rd, Redwood City, CA 94063
Industry:
Mechanical Or Industrial Engineering
Work:
Stanford University since Sep 2010
PhD Candidate
Australian National University - Canberra Area, Australia Jul 2009 - Jul 2010
Research Fellow
Princeton University Jun 2008 - May 2009
Research Associate
NASA Ames Research Center Jun 2007 - Aug 2007
Research Associate
Princeton University Jun 2006 - Dec 2006
Research Assistant
Education:
Stanford University 2011
Doctor of Philosophy (PhD), Mechanical Engineering
Stanford University 2010 - 2011
Master's degree, Mechanical Engineering
Princeton University 2005 - 2009
Bachelor of Arts (B.A.), Physics
College Preparatory School 2001 - 2005
Skills:
Fluid Mechanics, Simulations, Matlab, Heat Transfer, Machine Learning, Physics, Turbulence Modeling, Plasma Physics, Mechanical Engineering, Cfd, Turbomachinery, Python
Languages:
French
Awards:
National Science Foundation Graduate Research Fellowship
International Gas Turbine Institute Student Scholarship
IGTI
Phi Beta Kappa
Sigma Xi Society
American Australian Association Research Fellowship
National Merit Scholar
Robert C. Byrd Honors Scholarship
Shapiro Prize for Academic Excellence
Princeton University
Shapiro Prize for Academic Excellence
Manfred Pyka Prize for Physics
Princeton Physics Department
Shenstone Prize for Physics
Princeton Physics Department
Charles H. Leach Fellowship for Physics
Princeton Physics Department
Best Presentation
TSFA Conference
Julia Ling Photo 34

Julia Ling

Julia Ling Photo 35

Julia Ling

Julia Ling Photo 36

Julia Ling

Julia Ling Photo 37

Director Of Fund Development At Chinese Hospital

Position:
Director of Fund Development at Chinese Hospital
Location:
San Francisco Bay Area
Industry:
Hospital & Health Care
Work:
Chinese Hospital
Director of Fund Development
Julia Ling Photo 38

Intensive Care Nursery Rn At Ucsf Children's Hospital

Location:
San Francisco Bay Area
Industry:
Hospital & Health Care

Publications & IP owners

Us Patents

Turbidity Determination Using Computer Vision

US Patent:
2023001, Jan 19, 2023
Filed:
Jul 19, 2021
Appl. No.:
17/379893
Inventors:
- Mountain View CA, US
Peter Kimball - Mountain View CA, US
Barnaby John James - Campbell CA, US
Julia Black Ling - Redwood City CA, US
International Classification:
A01K 61/95
A23K 50/80
G06K 9/00
G06K 9/62
G01N 33/18
G01N 21/53
G06N 20/00
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that generate from a first pair and a second pair of images of livestock that are within an enclosure and that are taken at different times using a stereoscopic camera, at least two distance distributions of the aquatic livestock within the enclosure. The distance distributions can be used to determine a measure associated with an optical property of the water within the enclosure. A signal associated with the measure can be provided.

Predictive Design Space Metrics For Materials Development

US Patent:
2020027, Aug 27, 2020
Filed:
Sep 12, 2019
Appl. No.:
16/568701
Inventors:
- Redwood City CA, US
Erin Melissa Tan Antono - Palo Alto CA, US
Edward Soo Kim - Medicine Hat, CA
Bryce William Meredig - San Carlos CA, US
Julia Black Ling - Redwood City CA, US
International Classification:
G06F 17/50
G06N 20/00
G06N 7/00
Abstract:
A system and a method are disclosed for predicting design space quality for materials development and manufacture. In an embodiment, a processor receives input of a material property and a design space. The processor identifies a best data point. For each respective candidate material of the design space, the processor receives, as output from a model, a respective property value. The processor determines respective property values that exceed the property value of the best data point adds them to a subset of candidate materials. The processor determines a PFIC score for candidates in the subset. The processor generates a plurality of curves, each reflecting a respective probability distribution of property values. The processor determines a CMLI score based on the plurality of respective curves. The processor determines that the design space is high quality based on the PFIC and CMLI scores, and outputs a recommendation to proceed.

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