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