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Jun Yan Phones & Addresses

  • Grand Junction, CO
  • Arcadia, CA
  • Alhambra, CA
  • San Gabriel, CA
  • Monterey Park, CA
  • Alpharetta, GA

Work

Company: University of california, los angeles Jan 2011 Position: Lab assistant

Education

School / High School: UNIVERSITY OF CALIFORNIA- Los Angeles, CA Jun 2012 Specialities: Bachelor of Science in Microbiology

Skills

Proficient in Chinese and Japanese

Professional Records

Medicine Doctors

Jun Yan Photo 1

Jun Yan

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Specialties:
Anesthesiology
Work:
Allegheny General Hospital Outpatient Surgery Center
320 E North Ave, Pittsburgh, PA 15212
(412) 359-5900 (phone)
Education:
Medical School
Hunan Med Univ, Changsha City, Hunan, China
Graduated: 1992
Procedures:
Upper Gastrointestinal Endoscopy
Languages:
English
German
Polish
Description:
Dr. Yan graduated from the Hunan Med Univ, Changsha City, Hunan, China in 1992. He works in Pittsburgh, PA and specializes in Anesthesiology. Dr. Yan is affiliated with Allegheny General Hospital, Forbes Hospital and Western Pennsylvania Hospital.

Resumes

Resumes

Jun Yan Photo 2

Associate At Deloitte

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Position:
Associate at Deloitte
Location:
Beijing City, China
Industry:
Financial Services
Work:
Deloitte - Beijing since Sep 2011
Associate

MY Hedgefund Jul 2010 - Aug 2010
Research Analyst
Education:
Penn State University 2008 - 2011
BSc, Finance, Economics
Jun Yan Photo 3

Process Chemist

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Location:
375 Colket Ln, Wayne, PA 19087
Industry:
Chemicals
Work:
Fmc Corporation
Process Chemist

Dupont
Research Investigator at Dupont

Amri (Albany Molecular Research Inc.) Mar 2011 - Aug 2012
Senior Research Scientist I

Amri (Albany Molecular Research Inc.) Oct 2007 - Mar 2011
Senior Research Scientist
Education:
Michigan State University 2002 - 2007
Doctorates, Doctor of Philosophy, Chemistry
Peking University 1998 - 2002
Bachelors, Bachelor of Science, Chemistry
Skills:
Organic Synthesis
Organic Chemistry
Purification
Gmp
Organometallic Chemistry
Hplc
Nmr
Lc Ms
Nmr Spectroscopy
Cro
Synthetic Chemistry
Cgmp
Process Development
Chemdraw
Crystallization
Tlc
Uv Vis
Cmo Management
Languages:
English
Mandarin
Jun Yan Photo 4

Jun Yan

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Jun Yan Photo 5

Jun Yan

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Jun Yan Photo 6

Jun Yan Los Angeles, CA

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Work:
UNIVERSITY OF CALIFORNIA, LOS ANGELES

Jan 2011 to 2000
Lab Assistant

Education:
UNIVERSITY OF CALIFORNIA
Los Angeles, CA
Jun 2012
Bachelor of Science in Microbiology

SANTA MONICA COLLEGE
Jun 2010
Associate of Science in General biology, General chemistry

Skills:
Proficient in Chinese and Japanese

Business Records

Name / Title
Company / Classification
Phones & Addresses
Jun Yan
President
CHINA AMERICA ELECTRONICS CORPORATION, LTD
Whol Durable Goods · Whol Electronic Parts/Equipment
580 Un Ave, Pomona, CA 91768
14125 Telephone Ave, Chino, CA 91710
5171 Edison Ave, Chino, CA 91710
Jun Yan
Union Profit LLC
226 S 5 Ave, Whittier, CA 91746
Jun Yan
YARIS LLC
Jun Yan
President
Pactra International, Inc
18313 Kara Pl, Whittier, CA 91748
Jun Yan
President
NANCHANG TRADING INDUSTRIES (USA), INC
226 S 5 Ave, La Puente, CA 91746
226 S 5 Ave, Whittier, CA 91746
Jun Wen Yan
Manager, M
Bradford International, LLC
7900 E Greenway Rd, Scottsdale, AZ 85260
PO Box 3600, Palos Verdes Estates, CA 90274

Publications

Us Patents

Methods And Systems For Determining The Importance Of Individual Variables In Statistical Models

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US Patent:
20140200930, Jul 17, 2014
Filed:
Mar 17, 2014
Appl. No.:
14/217231
Inventors:
- Hermitage TN, US
Cheng-Sheng Peter Wu - Arcadia CA, US
Michael F. Greene - Boston MA, US
James C. Guszcza - Santa Monica CA, US
Jun Yan - Avon CT, US
Jonathan Vanden Bosch - Santa Monica CT, US
John R. Lucker - Simsbury CT, US
International Classification:
G06Q 40/08
US Classification:
705 4
Abstract:
Methods and systems for determining the importance of each of the variables, or combinations of variables, that contribute to the overall score generated by a predictive statistical model are presented. In a specialized case, for each variable in the model, an importance is calculated based on the calculated slope and deviance of the predictive variable. In a more general case, for each variable in the model, an importance is calculated based on setting that variable to have the average value for the data set, and then calculating the change in score. The totality of variables (or combinations thereof) is then ranked by the Δscore, or a magnitude of it, such as |Δscore|.
Jun Sun Yan from Grand Junction, CO Get Report