Fujun Te Zhang from 3058 Enfield St, San Ramon, CA 94582, age 56

Us Patents

Biomarkers For Peripheral Artery Disease
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US Patent:

8008020, Aug 30, 2011
Filed:

May 26, 2005
Appl. No.:

11/597667
Inventors:

Eric T. Fung - Los Altos CA, US
John P. Cooke - Palo Alto CA, US
Xiao-Ying Meng - Fremont CA, US
Fujun Zhang - Fremont CA, US
Assignee:

Vermillion, Inc. - Austin TX
Board of Trustees of the Leland Stanford Junior University - Palo Alto CA
International Classification:

G01N 33/53
US Classification:

435 71, 435 72, 436518
Abstract:

This invention provides biomarkers whose concentrations in blood plasma are associated with the presence or absence of PAD in the patient from whom the plasma sample is taken. The invention also provides biomarkers for distinguishing between PAD patients who are long claudicators and PAD patients who are not. In addition, the invention provides methods for identifying additional biomarkers, methods for detecting the biomarkers in patients, and methods for identifying agents, including pharmaceutical agents, which interact with the biomarkers and are useful for preventing or treating PAD in patients.

Biomarker For Ovarian Cancer
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US Patent:

20070172902, Jul 26, 2007
Filed:

Jun 21, 2006
Appl. No.:

11/473280
Inventors:

Zhen Zhang - Dayton MD, US
Daniel Chan - Clarksville MD, US
Eric Fung - Los Altos CA, US
Zheng Wang - Fremont CA, US
Fujun Zhang - Fremont CA, US
International Classification:

G01N 33/574
G06F 19/00
US Classification:

435007230, 702019000
Abstract:

The present invention provides a protein-based biomarker that is useful in qualifying ovarian cancer status in a patient. In particular, the biomarker of this invention is useful to classify a subject sample as ovarian cancer or non-ovarian cancer. The biomarker can be detected by SELDI mass spectrometry.

Panel Of Biomarkers For Peripheral Arterial Disease
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US Patent:

20080171396, Jul 17, 2008
Filed:

Nov 1, 2007
Appl. No.:

11/934008
Inventors:

Eric T. Fung - Los Altos CA, US
John Cooke - Palo Alto CA, US
Fujun Zhang - Fremont CA, US
Andrew Wilson - Glen Iris, AU
Assignee:

Vermillion, Inc. - Fremont CA
The Board of Trustees of the Leland Stanford Junior University - Palo Alto CA
International Classification:

G01N 33/00
G06F 19/00
US Classification:

436 86, 702 19
Abstract:

The invention provides biomarkers including β-2-microglobulin, Cystatin C, hsCRP and glucose as well as methods for using the biomarkers for diagnosing and/or assessing the risk of peripheral artery disease in a subject. In some embodiments, the subject being tested may be suffering from or at risk of other circulatory diseases, including coronary artery disease. Hemoglobin A1c or other proxies for measuring glucose levels may be substituted for or measured in addition to glucose in the context of the present invention.

Biomarker For Ovarian Cancer Ctap3-Related Proteins
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US Patent:

20100075342, Mar 25, 2010
Filed:

Apr 2, 2009
Appl. No.:

12/384246
Inventors:

Zhen Zhang - Dayton MD, US
Daniel W. Chan - Clarksville MD, US
Eric T. Fung - Los Altos CA, US
Zheng Wang - Fremont CA, US
Fujun Zhang - Fremont CA, US
Assignee:

The Johns Hopkins University - Baltimore MD
Vermillion, Inc. - Fremont CA
International Classification:

G01N 33/50
G01N 33/53
G01N 33/573
G01N 33/543
G01N 33/574
A61K 38/16
A61P 35/00
US Classification:

435 74, 436 86, 436 87, 436518, 530300
Abstract:

The present invention provides a protein-based biomarker that is useful in qualifying ovarian cancer status in a patient. In particular, the biomarker of this invention is useful to classify a subject sample as ovarian cancer or non-ovarian cancer. The biomarker can be detected by SELDI mass spectrometry.

Biomarker For Ovarian Cancer Ctap3-Related Proteins
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US Patent:

20140274787, Sep 18, 2014
Filed:

Mar 18, 2014
Appl. No.:

14/218030
Inventors:

- Austin TX, US
- Baltimore MD, US
ERIC T. FUNG - LOS ALTOS CA, US
ZHENG WANG - FREMONT CA, US
FUJUN ZHANG - FREMONT CA, US
Assignee:

Vermillion, Inc. - Austin TX
The Johns Hopkins University - Baltimore MD
International Classification:

G01N 33/574
US Classification:

506 9, 506 18
Abstract:

The present invention provides a protein-based biomarker that is useful in qualifying ovarian cancer status in a patient. In particular, the biomarker of this invention is useful to classify a subject sample as ovarian cancer or non-ovarian cancer. The biomarker can be detected by SELDI mass spectrometry.

Resumes

Data Scientist And Machine Learning Lead

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Location:

San Francisco, CA

Industry:

Biotechnology

Work:

Caastle
Data Scientist and Machine Learning Lead
Robert Half
Data Scientist -- Technician Lead

Education:

Stanford University 2014
Stanford University 2013
University of Wisconsin - Madison 2000
Master of Science, Masters Beijing Agricultural University 1996
Master of Science, Masters Shandong Agricultural University 1990
Bachelors, Bachelor of Science

Skills:

Writing
Compare
Neural Networks
Statisticians
Consulting
Market
Web Marketing
Discover
Survival Analysis
Model Building
Vendors
Windows
Fungal
Conventional
Bacterial
Undergraduate
Perl
Matlab
Biotechnology
Linear Programming
Lasso
Finance
Time Series Analysis
San
Minitab
Thesis
Amazon
Construction
Vector
Convex Optimization
Design of Experiments
Plots
Product Management
Keywords
Clusters
Detection
Lda
Search
Management
Search Engines
Design
Simulations
Massive
Experimental Design
User Interface Design
Science
Spc
Machine Learning
Resume
Patents
Statistics
Ongoing Support
Svm
Transparent
Metrics
Data Mining
Interpreting Data
Beijing
Pfizer
Density
Linux
Algorithms
Methodology
Factor
Trees
S Plus
Guidance
Stochastic Methods
Networking
Forecasting
Troubleshooting
System
Languages
Cell
Cluster
Healthcare
Data Monitoring
Visualization
Tests
Drive Results
Boosting
Validation
Asset Allocation
Reports
Knowledge Discovery
Strategy
Mixed Model
Hadoop
Hotels
Apache
Logistic Regression
Pharmaceutical Sciences
Artificial Intelligence
Strategies
Mixed
Tables
Variable
Testing
Risk Management
Commercial Software
Population Genetics
Contamination
Intelligent Agents
Redwood
A/B Testing
Extract
Robust
Research
System Monitoring
Stakeholders
Garch
Statistical Modeling
Spark
Operational Support
Word Processing
Anova
R&D
Pragmatic
Analysis
Statistical Package
Process Simulation
Data Visualization
Ensemble
Semantic Analysis
Statistical Tools
Laboratory
Concepts
R
Project Estimation
Yahoo
C
Coordination
Retail
Predictive Modeling
Moving
Applications
Financial Modeling
Data Analysis
Assay Development
Graduate Level
Universities
Modeling
Gams
Wikipedia
Evidence
Project Bidding
Quantitative Analyses
Scientific
Institutions
Partial
Operations
Author
Clinical Data
Suite
Html
Bootstrap
Marketing
Big Data
Vba
Mining
Process Monitoring
Statistical Analysis Tools
Business Intelligence
Unsupervised Learning
Forest
Sql
Ubuntu
Surface
Programming Experience
Silicon Graphics
Genetics
Analytics
Unix
Empirical
Analytical Software
Hypothesis Testing
Spss
Responsibility
Internal Audit
User Interface
Search Algorithms
E Commerce
International
Nlp
Intelligence
Data Science
Code
Classification
Network Optimization
Process Modeling
Open Source
Teaching
Pca
Plot
Scala
Internal Customers
Parametric
Diagnostics
Business Insights
Data Quality
Regression Testing
Cart
Software
Sas
Kernel
Berkeley
Java
Simulated Annealing
Extend
Rate
Pharmaceutics
Topic
Manufacturing
Hive
Libraries
China
Python
Sampling
Optimization
Scientists
Technical Issues
Cluster Analysis
Conceptual Modeling
Bagging
Automatic
Unified Communications
Evaluation
Process Optimization
Databases