Patents by Inventor Erin Shellman
Erin Shellman has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20220328128Abstract: Systems, methods and computer-readable media are provided for designing experiments for organisms at a first scale to generate first-scale performance data used in predicting performance of the organisms at a second, larger scale. The design includes determining first-scale screening conditions based at least in part upon the contribution of second-scale conditions to performance parameters of an organism at the second scale. The first-scale screening conditions include one or more proxies for second-scale conditions that cannot be replicated at first scale. The design determines first-scale screening parameters based at least in part upon computer modeling of the metabolism of the organism at the second scale.Type: ApplicationFiled: May 5, 2020Publication date: October 13, 2022Applicant: Zymergen Inc.Inventors: Stefan De Kok, Peter Enyeart, Richard Hansen, Trent Hauck, Crystal Humphries, Sarah Lieder, Zachariah Serber, Erin Shellman, Amelia Taylor, Thomas Treynor, Kristina Tyner
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Publication number: 20220275361Abstract: 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.Type: ApplicationFiled: May 17, 2022Publication date: September 1, 2022Inventors: Zachariah SERBER, Erik Jedediah DEAN, Shawn MANCHESTER, Katherine GORA, Michael FLASHMAN, Erin SHELLMAN, Aaron KIMBALL, Shawn SZYJKA, Barbara FREWEN, Thomas TREYNOR, Kenneth S. BRUNO
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Patent number: 11352621Abstract: 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.Type: GrantFiled: May 7, 2021Date of Patent: June 7, 2022Assignee: Zymergen Inc.Inventors: Zachariah Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Patent number: 11312951Abstract: 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.Type: GrantFiled: May 12, 2021Date of Patent: April 26, 2022Assignee: Zymergen Inc.Inventors: Zachariah Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Patent number: 11208649Abstract: 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.Type: GrantFiled: May 5, 2021Date of Patent: December 28, 2021Assignee: Zymergen Inc.Inventors: Zachariah Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Patent number: 11155807Abstract: 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.Type: GrantFiled: December 18, 2020Date of Patent: October 26, 2021Assignee: Zymergen Inc.Inventors: Zachariah Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Patent number: 11155808Abstract: 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.Type: GrantFiled: March 22, 2021Date of Patent: October 26, 2021Assignee: Zymergen Inc.Inventors: Zachariah Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20210284992Abstract: 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.Type: ApplicationFiled: May 12, 2021Publication date: September 16, 2021Inventors: Zachariah SERBER, Erik Jedediah DEAN, Shawn MANCHESTER, Katherine GORA, Michael FLASHMAN, Erin SHELLMAN, Aaron KIMBALL, Shawn SZYJKA, Barbara FREWEN, Thomas TREYNOR, Kenneth S. BRUNO
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Publication number: 20210261949Abstract: 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.Type: ApplicationFiled: May 5, 2021Publication date: August 26, 2021Inventors: Zachariah SERBER, Erik Jedediah DEAN, Shawn MANCHESTER, Katherine GORA, Michael FLASHMAN, Erin SHELLMAN, Aaron KIMBALL, Shawn SZYJKA, Barbara FREWEN, Thomas TREYNOR, Kenneth S. BRUNO
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Publication number: 20210261950Abstract: 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.Type: ApplicationFiled: May 7, 2021Publication date: August 26, 2021Inventors: Zachariah SERBER, Erik Jedediah DEAN, Shawn MANCHESTER, Katherine GORA, Michael FLASHMAN, Erin SHELLMAN, Aaron KIMBALL, Shawn SZYJKA, Barbara FREWEN, Thomas TREYNOR, Kenneth S. BRUNO
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Patent number: 11085040Abstract: 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.Type: GrantFiled: October 28, 2019Date of Patent: August 10, 2021Assignee: Zymergen Inc.Inventors: Zachariah Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20210222156Abstract: 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.Type: ApplicationFiled: March 22, 2021Publication date: July 22, 2021Inventors: Zachariah SERBER, Erik Jedediah DEAN, Shawn MANCHESTER, Katherine GORA, Michael FLASHMAN, Erin SHELLMAN, Aaron KIMBALL, Shawn SZYJKA, Barbara FREWEN, Thomas TREYNOR, Kenneth S. BRUNO
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Publication number: 20210102193Abstract: 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.Type: ApplicationFiled: December 18, 2020Publication date: April 8, 2021Inventors: Zach SERBER, Erik Jedediah DEAN, Shawn MANCHESTER, Katherine GORA, Michael FLASHMAN, Erin SHELLMAN, Aaron KIMBALL, Shawn SZYJKA, Barbara FREWEN, Thomas TREYNOR, Kenneth S. BRUNO
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Patent number: 10968445Abstract: The present disclosure provides machine learning techniques for computationally predicting the phenotypic performance of combinations of genetic variations and for designing new improved host cells. The machine learning models and methods described herein are host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any host cell parameter of interest.Type: GrantFiled: October 15, 2020Date of Patent: April 6, 2021Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20210024918Abstract: 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.Type: ApplicationFiled: October 15, 2020Publication date: January 28, 2021Inventors: Zach SERBER, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Patent number: 10883101Abstract: 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.Type: GrantFiled: May 29, 2020Date of Patent: January 5, 2021Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20200370058Abstract: The present disclosure provides a HTP genomic engineering platform for improving Escherichia coli. 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.Type: ApplicationFiled: June 6, 2018Publication date: November 26, 2020Inventors: Matthew Davis, Christy Wisnewski, Patrick Westfall, Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Michael Flashman, Robert Haushalter, Stacy-Anne Morgan, Michael Blaisse, Prabha Ramakrishnan, Kyle Rothschild-Mancinelli, Youngnyun Kim
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Patent number: 10808243Abstract: 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.Type: GrantFiled: April 2, 2020Date of Patent: October 20, 2020Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20200291392Abstract: 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.Type: ApplicationFiled: May 29, 2020Publication date: September 17, 2020Inventors: ZACH SERBER, ERIK JEDEDIAH DEAN, SHAWN MANCHESTER, KATHERINE GORA, MICHAEL FLASHMAN, ERIN SHELLMAN, AARON KIMBALL, SHAWN SZYJKA, BARBARA FREWEN, THOMAS TREYNOR, KENNETH S. BRUNO
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Patent number: 10745694Abstract: 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.Type: GrantFiled: November 27, 2019Date of Patent: August 18, 2020Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno