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Richard P Betori, 636076 Indian Trail Rd, Gurnee, IL 60031

Known as:
Richard Paul Betori Rick P Betori Julie A Betori Rp Betori Dick P Betori Richard Loss Betori Rp
Related to:
Patricia D Lauria 87

Richard Betori Phones & Addresses

6076 Indian Trail Rd, Gurnee, IL 60031    847-8551338    847-8551824   

Sawyer, MI   

Waco, TX   

Libertyville, IL   

Cleveland, OH   

Wayne, IL   

Villa Park, IL   

Roselle, IL   

Palm Beach, FL   

6076 Indian Trail Rd, Gurnee, IL 60031    847-3633599   

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Richard P Betori

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Work

Company: Cortevaagriscience Position: Process chemist

Education

Degree: Doctorates, Doctor of Philosophy School / High School: Northwestern University 2015 to 2020 Specialities: Philosophy, Chemistry

Skills

Microsoft Office • Data Analysis • Organic Chemistry • Research • Microsoft Excel • Public Speaking

Industries

Pharmaceuticals
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Richard Betori resumes & CV records

Resumes

Richard Betori Photo 9

Process Chemist

Location:
6076 Indian Trail Rd, Gurnee, IL 60031
Industry:
Pharmaceuticals
Work:
Cortevaagriscience
Process Chemist
Education:
Northwestern University 2015 - 2020
Doctorates, Doctor of Philosophy, Philosophy, Chemistry Baylor University 2011 - 2015
Bachelors, Bachelor of Science, Biochemistry
Skills:
Microsoft Office, Data Analysis, Organic Chemistry, Research, Microsoft Excel, Public Speaking

Publications & IP owners

Us Patents

Recommendation Platform For Skill Development

US Patent:
2021034, Nov 4, 2021
Filed:
Mar 3, 2021
Appl. No.:
17/191047
Inventors:
- Tacoma WA, US
Richard Paul BETORI - Gurnee IL, US
Jeffrey Howard RASH - Naperville IL, US
Robert Michael WARD - Issaquah WA, US
Jeffrey S. DIRKS - Kirkland WA, US
Jeroen Anton DECKER - Ravensdale WA, US
Shawn David DILLENBECK - Bartlett IL, US
International Classification:
G06F 40/186
G06F 40/174
G06N 20/00
Abstract:
Disclosed is a platform that manages worker users in a temporary staffing environment via an artificial machine learning model. The temporary staffing platform matches available workers to available shifts/gigs. Additional features include generating provisional or near-miss matches and informing workers how to turn those near-misses into full matches, plotting a gig-career path to develop additional skills, gamify development, and automatically generate resumes. The platform generates a set of skill tags associated with each shift/gig performed by the user. Designing of resume text files by the artificial machine learning model includes procedurally generated descriptions of experience the a user has based on the recording of each shift/gig performed by the user and the skill tags associated with each recorded shift/gig, wherein a format of the resume text file is formulated by the artificial machine learning model evaluating a mix of skill tags and employers amassed by the user.

Recommendation Platform For Skill Development

US Patent:
2021034, Nov 4, 2021
Filed:
Mar 3, 2021
Appl. No.:
17/191076
Inventors:
- Tacoma WA, US
Richard Paul BETORI - Gurnee IL, US
Jeffrey Howard RASH - Naperville IL, US
Robert Michael WARD - Issaquah WA, US
Jeffrey S. DIRKS - Kirkland WA, US
Jeroen Anton DECKER - Ravensdale WA, US
Shawn David DILLENBECK - Bartlett IL, US
International Classification:
G06F 40/186
G06F 40/174
G06N 20/00
Abstract:
Disclosed is a platform that manages worker users in a temporary staffing environment via an artificial machine learning model. The temporary staffing platform matches available workers to available shifts/gigs. Additional features include generating provisional or near-miss matches and informing workers how to turn those near-misses into full matches, plotting a gig-career path to develop additional skills, gamify development, and automatically generate resumes. The platform generates a set of skill tags associated with each shift/gig performed by the user. Designing of resume text files by the artificial machine learning model includes procedurally generated descriptions of experience the a user has based on the recording of each shift/gig performed by the user and the skill tags associated with each recorded shift/gig, wherein a format of the resume text file is formulated by the artificial machine learning model evaluating a mix of skill tags and employers amassed by the user.

Enantioselective Cross Dehydrogenative Coupling Reactions And Compounds Synthesized By The Reactions

US Patent:
2020018, Jun 11, 2020
Filed:
Dec 11, 2019
Appl. No.:
16/710512
Inventors:
- Evanston IL, US
Ansoo Lee - Evanston IL, US
Richard C. Betori - Gurnee IL, US
Assignee:
Northwestern University - Evanston IL
International Classification:
C07D 309/30
C07D 405/06
C07D 409/06
Abstract:
Disclosed are enantioselective cross dehydrogenative coupling reactions for synthesizing tetrahydropyran compounds. Novel tetrahydropyran compounds may be synthesized by the disclosed methods as well as tetrahydropyran precursor compounds for synthesizing various naturally occurring compounds. The enantioselective cross dehydrogenative coupling reactions utilize in situ Lewis Acid activation in combination with oxidative formation of an oxocarbenium ion to provide a highly efficient and selective coupling reaction for synthesizing tetrahydropyran compounds.

Possible Relatives

Paul P Betori  Richard O Johnson  Richard E Stamps  Richard E Stanbrough  Richard H Stanchfield  Richard W Stanczyk  Richard M Standage  Richard A Standen  Richard F Standifer  Richard C Standley 

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