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Stephanie Jinyu Yaung

age ~37

from San Jose, CA

Also known as:
  • Stephanie J Yaung
Phone and address:
1137 Queensbridge Way, San Jose, CA 95120
408 239-6925

Stephanie Yaung Phones & Addresses

  • 1137 Queensbridge Way, San Jose, CA 95120 • 408 239-6925
  • Emeryville, CA
  • Cambridge, MA

Education

  • Degree:
    Associate degree or higher

Us Patents

  • Method Of Monitoring Effectiveness Of Immunotherapy Of Cancer Patients

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  • US Patent:
    20210292851, Sep 23, 2021
  • Filed:
    Jul 29, 2019
  • Appl. No.:
    17/263708
  • Inventors:
    - Pleasanton CA, US
    - South San Francisco CA, US
    John Palma - Alamo CA, US
    Namrata Patil - South San Francisco CA, US
    Johnny Wu - Castro Valley CA, US
    Stephanie Yaung - San Jose CA, US
    Wei Zou - San Carlos CA, US
  • International Classification:
    C12Q 1/6886
    C12Q 1/6869
  • Abstract:
    The invention is a method of determining a likelihood that a cancer patient will respond to immunotherapy based on a mutation metric obtained by sequencing a small panel of nucleic acid targets in patient's cell-free DNA.
  • Method Of Cancer Prognosis By Assessing Tumor Variant Diversity

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  • US Patent:
    20210222251, Jul 22, 2021
  • Filed:
    May 8, 2019
  • Appl. No.:
    17/053734
  • Inventors:
    - Pleasanton CA, US
    Felix HERTH - Heidelberg, DE
    Christine JU - Pleasanton CA, US
    Xiaoju MA - San Carlos CA, US
    Thomas MULEY - Heidelberg, DE
    Birgit WEHNL - Munich, DE
    Liu XI - Fremont CA, US
    Stephanie J. YAUNG - San Jose CA, US
  • Assignee:
    Roche Sequencing Solutions, Inc. - Pleasanton CA
  • International Classification:
    C12Q 1/6886
  • Abstract:
    The invention is a method of predicting response to therapy in a colorectal cancer patient, the method comprising measuring tumor genetic heterogeneity via analysis of circulating tumor DNA from a patient's sample.
  • Surrogate Marker And Method For Tumor Mutation Burden Measurement

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  • US Patent:
    20210054465, Feb 25, 2021
  • Filed:
    May 3, 2019
  • Appl. No.:
    17/052142
  • Inventors:
    - Pleasanton CA, US
    Christine Ju - Pleasanton CA, US
    Xiaoju Ma - San Carlos CA, US
    Thomas Muley - Heidelberg, DE
    Felix Herth - Heidelberg, DE
    Nalin Tikoo - San Ramon CA, US
    Birgit Wehnl - Munich, DE
    Liu Xi - Fremont CA, US
    Stephanie J. Yaung - San Jose CA, US
    Amrita Pati - San Ramon CA, US
  • International Classification:
    C12Q 1/6886
    C07K 16/28
  • Abstract:
    The invention is a method of predicting recurrence of colorectal cancer in a patient following surgery, the method comprising analysis of circulating tumor DNA from a patient's sample.
  • Method Of Predicting Response To Therapy By Assessing Tumor Genetic Heterogeneity

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  • US Patent:
    20210002719, Jan 7, 2021
  • Filed:
    Feb 11, 2019
  • Appl. No.:
    16/968811
  • Inventors:
    - Pleasanton CA, US
    John J. Lee - Walnut Creek CA, US
    John F. Palma - Alamo CA, US
    Stephanie J. Yaung - San Jose CA, US
  • International Classification:
    C12Q 1/6869
    G16H 50/30
    A61K 31/4745
  • Abstract:
    The invention is a method of predicting response to therapy in a colorectal cancer patient, the method comprising measuring tumor genetic heterogeneity via analysis of circulating tumor DNA from a patient's sample.
  • Method Of Predicting Response To Therapy By Assessing Tumor Genetic Heterogeneity

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  • US Patent:
    20200399711, Dec 24, 2020
  • Filed:
    Feb 11, 2019
  • Appl. No.:
    16/969172
  • Inventors:
    - Pleasanton CA, US
    Christine Ju - Pleasanton CA, US
    Xiaoju Ma - San Carlos CA, US
    Thomas Muley - Heidelberg, DE
    Felix Herth - Heidelberg, DE
    Nalin Tikoo - San Ramon CA, US
    Birgit Wehnl - Muenchen, DE
    Liu Xi - Fremont CA, US
    Stephanie J. Yaung - San Jose CA, US
  • International Classification:
    C12Q 1/6886
  • Abstract:
    The invention is a method of predicting response to therapy in a cancer patient by serial sampling the patient's cell-free tumor nucleic acids to determine a change in the number of mutations per amount of plasma.
  • Non-Invasive Test To Predict Response To Therapy In Colorectal Cancer Patients

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  • US Patent:
    20190360060, Nov 28, 2019
  • Filed:
    Aug 7, 2019
  • Appl. No.:
    16/534272
  • Inventors:
    - Pleasanton CA, US
    John Palma - Alamo CA, US
    Ulrich-Peter Rohr - Loerrach, DE
    Lijing Yao - Foster City CA, US
    Stephanie Yaung - San Jose CA, US
  • International Classification:
    C12Q 1/6886
    G16B 20/20
  • Abstract:
    The invention is a method of predicting response to therapy in a colorectal cancer patient, the method comprising analysis of circulating tumor DNA from a patient's sample.
  • Novel Mutations In Anaplastic Lymphoma Kinase Predicting Response To Alk Inhibitor Therapy In Lung Cancer Patients

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  • US Patent:
    20170349953, Dec 7, 2017
  • Filed:
    Jun 1, 2017
  • Appl. No.:
    15/611612
  • Inventors:
    - Pleasanton CA, US
    Stephanie Yaung - San Jose CA, US
    Aarthi Balasubramanyam - Sunnyvale CA, US
    John Palma - Alamo CA, US
  • International Classification:
    C12Q 1/68
    A61K 39/00
  • Abstract:
    The invention comprises novel methods and compositions for detecting whether a patient will be responsive to ALK inhibitors and methods of treating the patient.
  • Precise Microbiota Engineering At The Cellular Level

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  • US Patent:
    20160348120, Dec 1, 2016
  • Filed:
    Nov 5, 2014
  • Appl. No.:
    15/034682
  • Inventors:
    - Cambridge MA, US
    Stephanie Yaung - San Jose CA, US
  • Assignee:
    President and Fellows of Harvard College - Cambridge MA
  • International Classification:
    C12N 15/70
    A61K 35/74
    C12N 15/90
  • Abstract:
    Stably immunized cells and methods of making stably immunized cells are provided. Methods of altering the microbiota of an ecological environment are provided. Methods of modifying target chromosomes are provided. Methods of delivering genetic material to target cells are provided.

Resumes

Stephanie Yaung Photo 1

Senior Manager, Medical Affairs

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Location:
1137 Queensbridge Way, San Jose, CA 95120
Industry:
Biotechnology
Work:
Wyss Institute for Biologically Inspired Engineering - Greater Boston Area since Jan 2011
Graduate Student

Harvard Medical School - Greater Boston Area since Nov 2010
Graduate Researcher, George Church Lab

Genentech - San Francisco Bay Area Jun 2010 - Aug 2010
Late Stage Pharmaceutical and Processing Development Intern

Merck - Greater New York City Area Jun 2009 - Aug 2009
Analytical Development & Commercialization Intern and Engineering & Technology Fellow

Roche Pharmaceuticals - San Francisco Bay Area Jun 2008 - Mar 2009
Investigative Toxicology Intern
Education:
Harvard-MIT Division of Health Sciences & Technology 2010 - 2015
MIT Sloan School of Management 2006 - 2010
Massachusetts Institute of Technology 2006 - 2010
Leland High School 2002 - 2006
Skills:
Biotechnology
Molecular Biology
Protein Chemistry
Cell Biology
Genetics
Cell
Assay Development
Bioinformatics
Cell Culture
Microbiology
Research
Matlab
Lifesciences
Laboratory
Life Sciences
Statistics
Microscopy
Genomics
Stem Cells
R
Python
Bioengineering
Toxicology
Entrepreneurship
Market Research
Programming
Perl
Java
Html
Mentoring
Data Visualization
Team Leadership
Interests:
Exercise
Nascar
Home Improvement
Reading
Sports
The Arts
Home Decoration
Health
Cooking
Electronics
Outdoors
Education
Crafts
Fitness
Family Values
Collecting
Christianity
Kids
Medicine
Travel
Boating
Investing
Traveling
Languages:
English
Mandarin
Spanish
German
Stephanie Yaung Photo 2

Stephanie Yaung

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Youtube

The Killers-When You Were Young

The Killers-When you Were Young video that I put together with clips o...

  • Category:
    Music
  • Uploaded:
    24 Oct, 2006
  • Duration:
    3m 37s

Carieke's School of Highland Dancing, Caledonia

De Silver Ghillie Award 2009 Tilburg, Dansers: Marchien Kluiver,Stepha...

  • Category:
    Sports
  • Uploaded:
    26 Apr, 2009
  • Duration:
    3m 12s

Googleplus

Stephanie Yaung Photo 3

Stephanie Yaung

Education:
Harvard Medical School & Massachusetts Institute of Technology - Medical Engineering, Massachusetts Institute of Technology - Biological Engineering & Management Science

Facebook

Stephanie Yaung Photo 4

Stephanie Yaung

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