Jason A Briggs

US Patent:

20210149980, May 20, 2021

Filed:

Dec 24, 2020

Appl. No.:

17/133764

Inventors:

- San Francisco CA, US
Jason Rastrick Briggs - Boston MA, US
Max Kleiman-Weiner - Cambridge MA, US
John Randolph Frank - Cambridge MA, US
Tyler Balensiefer - Cambridge MA, US
Cogan Dwayne Culver - Satfford VA, US
Kevin John Doyle - Somerville MA, US
Thomas Michael DuBois - Columbia MD, US
Keith Michael Gabryelski - Brookline MA, US
Andrew Richard Gallant - Marlborough MA, US
Andrew Wilson Haskell - Manchester-by-the-Sea MA, US
David Johnson - Somerville MA, US
Geoffrey Ira Milstein - Merrimac MA, US
Daniel Adam Roberts - Cambridge MA, US
Aaron Michael Taylor - Cambridge MA, US
Henry Forrest Leanna Wallace - Cambridge MA, US
Logan Eli Zoellner - Columbia MD, US

International Classification:

G06F 16/9538
G06F 16/93
G06F 16/901

Abstract:

Connections among two different entities are identified by processing a collection of documents to identify one or more documents that contain co-occurring mentions of each of the two different entities. This relationship may be graphically displayed in a user interface with an icon or the like for each of the two entities, along with a graphical link interconnecting the entities. The graphical link can be an active element of the user interface that responds to user interactions by providing access to evidence within the collection of documents that substantiates the connection between the two entities. In one aspect, a search input form field in a user interface may be used to explicitly request documents that substantiate a relationship between two entities. In another aspect, a user may ground entity mentions by explicitly selecting documents that mention an entity of interest.

US Patent:

20200171501, Jun 4, 2020

Filed:

Oct 23, 2019

Appl. No.:

16/661310

Inventors:

- Emeryville CA, US
Magali Soumillon - Boston MA, US
Shao Ning Pei - Albany CA, US
Samira A. Nedungadi - Berkeley CA, US
Volker L.S. Kurz - Oakland CA, US
Jian Gong - Danville CA, US
Yara X. Mejia Gonzalez - Berkeley CA, US
Mckenzi S. Toh - Oakland CA, US
Brian A. Rabkin - Redwood City CA, US
Jason C. Briggs - Pleasanton CA, US

Assignee:

Berkeley Lights, Inc. - Emeryville CA

International Classification:

B01L 3/00
B01L 7/00
B03C 5/00
B03C 5/02

Abstract:

Microfluidic devices having an electrowetting configuration and an optimized droplet actuation surface are provided for processing biological cells, e.g., for use in nucleic acid library preparation and/or synthesis (including amplification). The devices include a dielectric layer, a hydrophobic layer covalently bonded to the dielectric layer, and a first electrode. Methods of nucleic acid library preparation and/or synthesis can involve providing reagents to cells or nucleic acids by merging appropriate droplets on a droplet actuation surface within a water-immiscible organic liquid and can be performed in the presence of appropriate surfactants. The hydrophobic layer features self-associating molecules covalently bonded to a surface of the dielectric layer in a manner that produces a densely-packed monolayer that resists intercalation and or penetration by polar molecules or species. Also provided are systems for temperature control of the microfluidic device during nucleic acid library preparation and/or synthesis which can reduce temperature overshooting during heating and cooling steps.

US Patent:

20180349511, Dec 6, 2018

Filed:

Jun 6, 2018

Appl. No.:

16/001874

Inventors:

- Cambridge MA, US
Andrew Richard Gallant - Westborough MA, US
Jason Rastrick Briggs - Boston MA, US
Cogan Dwayne Culver - Satfford VA, US
Kevin John Doyle - Somerville MA, US
Thomas Michael DuBois - Columbia MD, US
John Randolph Frank - Cambridge MA, US
Keith Michael Gabryelski - Brookline MA, US
Andrew Wilson Haskell - Manchester-by-the-Sea MA, US
David Zachary Maze - Somerville MA, US
Geoffrey Ira Milstein - Merrimac MA, US
Emily Brooks Pavlini - Boston MA, US
Daniel Adam Roberts - Cambridge MA, US
Aaron Michael Taylor - Williamstown MA, US
Henry Forrest Leanna Wallace - Cambridge MA, US

International Classification:

G06F 17/30
G06N 5/00

Abstract:

A journal of operations persistently stores a collection of user and machine interactions with documents, concepts within documents, and relationships/mentions among such documents and concepts. A knowledge graph or other visual expression can be used to provide an interactive format for user interactions with this information, and to visually display the accumulated information in the journal of operations on user's device of choice. Such accumulations are often called aggregations or aggregates. Both human users and computer users such as automated recommendation engines, machine learning algorithms, and the like can interact with the journal of operations to facilitate computer-assisted discovery and organization of data around a topic of interest to the human user. The resulting journal of operations and aggregations of those operations such as a knowledge graph or other visual expression(s) also provides a useful medium for sharing knowledge with other users and collaborating on investigation of a topic.

US Patent:

20180349517, Dec 6, 2018

Filed:

Jun 6, 2018

Appl. No.:

16/001884

Inventors:

- Cambridge MA, US
Andrew Richard Gallant - Westborough MA, US
Jason Rastrick Briggs - Boston MA, US
Cogan Dwayne Culver - Satfford VA, US
Kevin John Doyle - Somerville MA, US
Thomas Michael DuBois - Columbia MD, US
John Randolph Frank - Cambridge MA, US
Keith Michael Gabryelski - Brookline MA, US
Andrew Wilson Haskell - Manchester-by-the-Sea MA, US
David Zachary Maze - Somerville MA, US
Geoffrey Ira Milstein - Merrimac MA, US
Emily Brooks Pavlini - Boston MA, US
Daniel Adam Roberts - Cambridge MA, US
Aaron Michael Taylor - Williamstown MA, US
Henry Forrest Leanna Wallace - Cambridge MA, US

International Classification:

G06F 17/30
G06N 5/00

Abstract:

A journal of operations persistently stores a collection of user and machine interactions with documents, concepts within documents, and relationships/mentions among such documents and concepts. A knowledge graph or other visual expression can be used to provide an interactive format for user interactions with this information, and to visually display the accumulated information in the journal of operations on user's device of choice. Such accumulations are often called aggregations or aggregates. Both human users and computer users such as automated recommendation engines, machine learning algorithms, and the like can interact with the journal of operations to facilitate computer-assisted discovery and organization of data around a topic of interest to the human user. The resulting journal of operations and aggregations of those operations such as a knowledge graph or other visual expression(s) also provides a useful medium for sharing knowledge with other users and collaborating on investigation of a topic.