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Erin Shellman Phones & Addresses

  • Seattle, WA
  • Tacoma, WA
  • Ann Arbor, MI
  • Miamisburg, OH
  • Centerville, OH
  • Cleveland, OH

Work

Company: University of michigan department of internal medicine 2007 Position: Graduate student research assistant

Education

School / High School: UNIVERSITY OF MICHIGAN- Ann Arbor, MI Specialities: Doctor of Philosophy in Bioinformatics

Skills

R • Python • C++

Resumes

Resumes

Erin Shellman Photo 1

Senior Director Of Data Science And Analytics

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Location:
209 18Th St, Seattle, WA 98055
Industry:
Retail
Work:
Nordstrom - Seattle, WA since Mar 2013
Data Scientist

BigDoor Media, Inc. - Seattle, WA Jan 2013 - Mar 2013
Software Engineer

University of Michigan - Ann Arbor, MI Sep 2007 - Dec 2012
Graduate Student Research Assistant

University of Michigan - Ann Arbor, MI Aug 2006 - Aug 2007
Graduate Student Research Assistant, Biostatistics

Case Western Reserve University - Cleveland, OH Sep 2003 - Apr 2006
Research Assistant, Dept of Economics
Education:
University of Michigan 2008 - 2012
Doctor of Philosophy (PhD), Bioinformatics
University of Michigan 2006 - 2008
Master of Science (MS), Biostatistics
Case Western Reserve University 2002 - 2006
Bachelor's degree, Economics, Evolutionary Biology
Skills:
R
Python
Bioinformatics
Machine Learning
Statistics
Data Mining
Latex
Data Analysis
Hadoop
Genomics
Sql
Biostatistics
Ggplot2
Bioconductor
Sequence Alignment
Algorithms
Research
Scala
Apache Spark
Hive
Ubuntu
Python
Interests:
Science and Technology
Erin Shellman Photo 2

Erin Shellman Ann Arbor, MI

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Work:
University of Michigan Department of Internal Medicine

2007 to 2000
Graduate Student Research Assistant

University of Michigan Department of Biostatistics
Ann Arbor, MI
2006 to 2007
GRADUATE STUDENT RESEARCH ASSISTANT

Case Western Reserve University Dept. of Economics
Cleveland, OH
2003 to 2006
Professor Robert Slonim

Case Western Reserve University Dept. of Sociology
Cleveland, OH
2002 to 2006
Research Assistant

National Institutes of Health, CIT, Division of Computational Bioscience
Bethesda, MD
Jun 2005 to Aug 2005
INTERN

Education:
UNIVERSITY OF MICHIGAN
Ann Arbor, MI
Doctor of Philosophy in Bioinformatics

University of Michigan
Ann Arbor, MI
2008
Master of Science in Biostatistics

Case Western Reserve University
Cleveland, OH
2006
Bachelor of Arts in Economics, Evolutionary Biology, Minor in Mathematics

Skills:
R, Python, C++
Erin Shellman Photo 3

Erin Shellman

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Publications

Us Patents

Htp Genomic Engineering Platform

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US Patent:
20220275361, Sep 1, 2022
Filed:
May 17, 2022
Appl. No.:
17/746359
Inventors:
- Emeryville CA, US
Erik Jedediah DEAN - Lafayette CA, US
Shawn MANCHESTER - Oakland CA, US
Katherine GORA - Oakland CA, US
Michael FLASHMAN - Eureka CA, US
Erin SHELLMAN - Seattle WA, US
Aaron KIMBALL - San Francisco CA, US
Shawn SZYJKA - Martinez CA, US
Barbara FREWEN - Alameda CA, US
Thomas TREYNOR - Berkeley CA, US
Kenneth S. BRUNO - Walnut Creek CA, US
International Classification:
C12N 15/10
C12N 15/77
C12N 15/80
G16B 20/00
G16B 5/00
B01L 3/02
B01L 3/00
G01N 35/10
G16B 40/00
C12N 15/00
G16B 40/30
G16B 40/20
C12M 1/42
C12M 1/34
G01N 35/00
Abstract:
The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alga, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

Systems And Methods For Host Cell Improvement Utilizing Epistatic Effects

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US Patent:
20210284992, Sep 16, 2021
Filed:
May 12, 2021
Appl. No.:
17/318660
Inventors:
- Emeryville CA, US
Erik Jedediah DEAN - Lafayette CA, US
Shawn MANCHESTER - Oakland CA, US
Katherine GORA - Oakland CA, US
Michael FLASHMAN - Eureka CA, US
Erin SHELLMAN - Seattle WA, US
Aaron KIMBALL - San Francisco CA, US
Shawn SZYJKA - Martinez CA, US
Barbara FREWEN - Alameda CA, US
Thomas TREYNOR - Berkeley CA, US
Kenneth S. BRUNO - Walnut Creek CA, US
International Classification:
C12N 15/10
C12N 15/77
C12N 15/80
G16B 20/00
G16B 5/00
B01L 3/02
B01L 3/00
G01N 35/10
G16B 40/00
C12N 15/00
G16B 40/30
G16B 40/20
C12M 1/42
C12M 1/34
G01N 35/00
Abstract:
The present disclosure provides systems and methods for host cell improvement utilizing epistatic effects. The systems and methods described herein are host cell agnostic and therefore can be implemented across taxa. Furthermore, the disclosed systems and methods can be implemented to modulate or improve any host cell parameter of interest.

A Htp Engineering Platform

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US Patent:
20210261949, Aug 26, 2021
Filed:
May 5, 2021
Appl. No.:
17/308528
Inventors:
- Emeryville CA, US
Erik Jedediah DEAN - Lafayette CA, US
Shawn MANCHESTER - Oakland CA, US
Katherine GORA - Oakland CA, US
Michael FLASHMAN - Eureka CA, US
Erin SHELLMAN - Seattle WA, US
Aaron KIMBALL - San Francisco CA, US
Shawn SZYJKA - Martinez CA, US
Barbara FREWEN - Alameda CA, US
Thomas TREYNOR - Berkeley CA, US
Kenneth S. BRUNO - Walnut Creek CA, US
International Classification:
C12N 15/10
C12N 15/80
G16B 20/00
C12N 15/77
C12N 15/00
G16B 5/00
B01L 3/02
G01N 35/10
G16B 40/00
B01L 3/00
G01N 35/00
Abstract:
The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

Htp Genomic Engineering Platform

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US Patent:
20210261950, Aug 26, 2021
Filed:
May 7, 2021
Appl. No.:
17/314215
Inventors:
- Emeryville CA, US
Erik Jedediah DEAN - Lafayette CA, US
Shawn MANCHESTER - Oakland CA, US
Katherine GORA - Oakland CA, US
Michael FLASHMAN - Eureka CA, US
Erin SHELLMAN - Seattle WA, US
Aaron KIMBALL - San Francisco CA, US
Shawn SZYJKA - Martinez CA, US
Barbara FREWEN - Alameda CA, US
Thomas TREYNOR - Berkeley CA, US
Kenneth S. BRUNO - Walnut Creek CA, US
International Classification:
C12N 15/10
C12N 15/80
G16B 20/00
C12N 15/77
C12N 15/00
G16B 5/00
B01L 3/02
G01N 35/10
G16B 40/00
B01L 3/00
G01N 35/00
Abstract:
The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

Htp Engineering Platform

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US Patent:
20210222156, Jul 22, 2021
Filed:
Mar 22, 2021
Appl. No.:
17/208519
Inventors:
- Emeryville CA, US
Erik Jedediah DEAN - Lafayette CA, US
Shawn MANCHESTER - Oakland CA, US
Katherine GORA - Oakland CA, US
Michael FLASHMAN - Eureka CA, US
Erin SHELLMAN - Seattle WA, US
Aaron KIMBALL - San Francisco CA, US
Shawn SZYJKA - Martinez CA, US
Barbara FREWEN - Alameda CA, US
Thomas TREYNOR - Berkeley CA, US
Kenneth S. BRUNO - Walnut Creek CA, US
International Classification:
C12N 15/10
C12N 15/77
C12N 15/80
G16B 20/00
G16B 5/00
B01L 3/02
B01L 3/00
G01N 35/10
G16B 40/00
C12N 15/00
G01N 35/00
Abstract:
The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

Automated System For Htp Genomic Engineering

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US Patent:
20210102193, Apr 8, 2021
Filed:
Dec 18, 2020
Appl. No.:
17/127002
Inventors:
- Emeryville CA, US
Erik Jedediah DEAN - Lafayette CA, US
Shawn MANCHESTER - Oakland CA, US
Katherine GORA - Oakland CA, US
Michael FLASHMAN - Eureka CA, US
Erin SHELLMAN - Seattle WA, US
Aaron KIMBALL - San Francisco CA, US
Shawn SZYJKA - Martinez CA, US
Barbara FREWEN - Alameda CA, US
Thomas TREYNOR - Berkeley CA, US
Kenneth S. BRUNO - Walnut Creek CA, US
International Classification:
C12N 15/10
C12N 15/77
C12N 15/80
G16B 20/00
G16B 5/00
B01L 3/02
B01L 3/00
G01N 35/10
G01N 35/00
Abstract:
The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

Microbial Strain Improvement By A Htp Genomic Engineering Platform

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US Patent:
20210024918, Jan 28, 2021
Filed:
Oct 15, 2020
Appl. No.:
17/071691
Inventors:
- Emeryville CA, US
Erik Jedediah Dean - Lafayette CA, US
Shawn Manchester - Oakland CA, US
Katherine Gora - Oakland CA, US
Michael Flashman - Eureka CA, US
Erin Shellman - Seattle WA, US
Aaron Kimball - San Francisco CA, US
Shawn Szyjka - Martinez CA, US
Barbara Frewen - Alameda CA, US
Thomas Treynor - Berkeley CA, US
Kenneth S. Bruno - Walnut Creek CA, US
International Classification:
C12N 15/10
C12N 15/77
C12N 15/80
G16B 20/00
G16B 5/00
B01L 3/02
B01L 3/00
G01N 35/10
G01N 35/00
Abstract:
The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.

A Htp Genomic Engineering Platform For Improving Escherichia Coli

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US Patent:
20200370058, Nov 26, 2020
Filed:
Jun 6, 2018
Appl. No.:
16/620069
Inventors:
- Emeryville CA, US
Christy Wisnewski - Oakland CA, US
Patrick Westfall - Walnut Creek CA, US
Zach Serber - Sausilito CA, US
Erik Jedediah Dean - Lafayette CA, US
Shawn Manchester - Oakland CA, US
Katherine Gora - Oakland CA, US
Erin Shellman - Seattle WA, US
Aaron Kimball - San Francisco CA, US
Shawn Szyjka - Martinez CA, US
Barbara Frewen - Alameda CA, US
Thomas Treynor - Berkeley CA, US
Michael Flashman - Eureka CA, US
Robert Haushalter - Emeryville CA, US
Stacy-Anne Morgan - Albany CA, US
Michael Blaisse - Albany CA, US
Prabha Ramakrishnan - Oakland CA, US
Youngnyun Kim - Oakland CA, US
International Classification:
C12N 15/73
Abstract:
The present disclosure provides a HTP genomic engineering platform for improving . that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition.
Erin R Shellman from Seattle, WA, age ~40 Get Report