Jason Lawrence Simmons

US Patent:

20200394612, Dec 17, 2020

Filed:

Jun 17, 2020

Appl. No.:

16/904421

Inventors:

- New York NY, US
Joel Jerome JARVIS - Minneapolis MN, US
Brian SHAW - Austin TX, US
Darcy BINDER - Montvale NJ, US
Daniel AYOUB - Austin TX, US
Adam Tyler PUGH - Austin TX, US
Kusmina Gerasimina Laura DJOHAN SPENDER - London, GB
Jason SIMMONS - Pittsburgh PA, US
Jordan SHELLEY - New York NY, US
Paul DEGROTE - Austin TX, US

International Classification:

G06Q 10/10
G06Q 30/04
G06Q 30/00
G06Q 40/02
G06F 16/23
G06F 16/93
G06F 3/0484
G06F 40/205

Abstract:

A system and method for end-to-end transaction management, for example, for a structured finance market. The system and method digitizes and deconstructs complex interconnected transaction documents. The system creates transparency around the complexities of the transactions, generating significant efficiencies for existing market participants and enabling access to previously hidden and/or inaccessible data. In some embodiments, the platform supports a selected ecosystem (compared to specific use-cases within a market vertical) with a seamless integration of frameworks and schemas for the organization and structure of provisions, analytical tools extracting the required data, and the creation of metrics to informatively assess and calibrate the market. The system advantageously creates a digital language providing a tool, which will further enable the digitization of the finance ecosystem.

US Patent:

20190301271, Oct 3, 2019

Filed:

Mar 29, 2018

Appl. No.:

15/940406

Inventors:

Sergey Stolyarov - Tomball TX, US
Junjie Yang - Edmond OK, US
Sergey Kotov - Spring TX, US
David Gadzhimirzaev - Houston TX, US
Jason Wayne Simmons - Houston TX, US

Assignee:

Baker Hughes, a GE company, LLC - Houston TX

International Classification:

E21B 43/26
E21B 49/00
E21B 41/00

Abstract:

A method for performing a fracture operation. A log of a formation parameter is obtained for a formation surrounding a wellbore in which the fracture operation is to be implemented. A relation is determined between the formation parameter and a parameter of the fracture operation. A value of the parameter of the fracture operation is selected based on the relation and a value of the formation parameter.

US Patent:

20170124093, May 4, 2017

Filed:

Jan 17, 2017

Appl. No.:

15/407744

Inventors:

- Pittsburgh PA, US
Michael E. Elchik - Moon Township PA, US
Jason Simmons - Pittsburgh PA, US
Adel Assaad - Pittsburgh PA, US

International Classification:

G06F 17/30
H04L 29/08

Abstract:

A method and system for matching users of a network, such as a language learning network, employs user profile data to determine point match scores and/or compatibility match scores between users of the network. A point match score is a measure of strength for a single interest that two users share. A compatibility match score is an aggregate measure of similarity of multiple interests that two users share. When a first user asks the system to propose another user or users for interaction, the system uses the point match scores, compatibility match scores, or both to determine which additional users to recommend to the first user. The system may present the first user with a profile for each recommended user. The first user may select one of the recommended users and engage in interaction, such as language skills learning or practice, with that user via an interface.

US Patent:

20140222806, Aug 7, 2014

Filed:

Feb 5, 2014

Appl. No.:

14/173260

Inventors:

- Pittsburgh PA, US
Michael E. Elchik - Moon Township PA, US
Jason Simmons - Pittsburgh PA, US
Adel Assaad - Pittsburgh PA, US

Assignee:

WeSpeke, Inc. - Pittsburgh PA

International Classification:

G06F 17/30

US Classification:

707732

Abstract:

A method and system for matching users of a network, such as a language learning network, employs user profile data to determine point match scores and/or compatibility match scores between users of the network such as a social network. A point match score is a measure of strength for a single interest that two users share. A compatibility match score is an aggregate measure of similarity of multiple interests that two users share. When a first user asks the system to propose another user or users for interaction, the system uses the point match scores, compatibility match scores, or both to determine which additional users to recommend to the first user. The system may present the first user with a profile for each recommended user. The first user may select one of the recommended users and engage in interaction, such as language skills learning or practice, with that user via a text, audio and/or video interface.