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Yu Lee

from San Francisco, CA
Age ~42
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Also known as:
Lee Yu
Related to:
Shanyuan LiuSeon Yeo Lee, 55Yujia Liu, 40Suk K Lee, 52Deanna Lee, 60Dorothy Lee, 87
Connected to:
A Lee, 45Abi A Lee, 31Abigail LeeAbu B Lee, 66Adela C Lee, 64Adelyn S Lee, 39Adrian J Lee, 36Adriane C Lee, 57Aen H Lee, 44Aeren Lee, 33

Yu Lee Phones & Addresses

  • San Francisco, CA
  • Cambridge, MA
  • Chantilly, VA

Professional Records

License Records

Yu Feng Lee

License #:
24607 - Expired
Issued Date:
May 12, 2006
Renew Date:
May 12, 2006
Expiration Date:
May 31, 2008
Type:
Certified Public Accountant

Medicine Doctors

Yu Lee Photo 1

Yu Po Lee

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Specialties:
Orthopaedic Surgery, Orthopaedic Surgery Of Spine
Work:
UCSD Medical GroupUCSD Medical Center Orthopedic Surgery
200 W Arbor Dr STE 2, San Diego, CA 92103
(619) 543-6312 (phone), (619) 543-7480 (fax)
Education:
Medical School
University of California, Los Angeles David Geffen School of Medicine
Graduated: 1998
Procedures:
Spinal Cord Surgery
Spinal Fusion
Spinal Surgery
Shoulder Surgery
Conditions:
Fractures, Dislocations, Derangement, and Sprains
Internal Derangement of Knee Cartilage
Intervertebral Disc Degeneration
Osteoarthritis
Languages:
English
Russian
Spanish
Description:
Dr. Lee graduated from the University of California, Los Angeles David Geffen School of Medicine in 1998. He works in San Diego, CA and specializes in Orthopaedic Surgery and Orthopaedic Surgery Of Spine. Dr. Lee is affiliated with UCSD Medical Center and UCSD Thornton Hospital.
Yu Lee Photo 2

Yu Lee

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Specialties:
Obstetrics & Gynecology
Work:
Plano Healthcare For Women
5940 W Parker Rd STE 200, Plano, TX 75093
(972) 781-0456 (phone), (972) 473-2422 (fax)
Languages:
English
Spanish
Description:
Dr. Lee works in Plano, TX and specializes in Obstetrics & Gynecology. Dr. Lee is affiliated with Baylor Medical Center At Frisco and Texas Health Presbyterian Hospital.
Yu Lee Photo 3

Yu Lee

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Lawyers & Attorneys

Yu Lee Photo 4

Yu Cheung Lee - Lawyer

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Licenses:
California - Active 1981
Education:
Seattle University SOL
Univ of Toronto
Yu Lee Photo 5

Yu Lee - Lawyer

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Office:
Law Offices of Y.C. Lee
Specialties:
Finance
Mergers and Acquisitions
Banks and Banking
Conveyancing
Probate
Trusts
ISLN:
919752489
Admitted:
1981

Resumes

Resumes

Yu Lee Photo 6

Yu Hua Lee Newark, DE

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Work:
BGI Health Americas

Aug 2013 to 2000
Supervisor- Research Scientist
Dr. Chao Psychatric Clinic

Aug 2011 to Jul 2013
Conseling
Youn-Tai Pharmacy

Jun 2011 to Jul 2011
Pharmacist
TetraLogic Pharmaceuticals Corporation
Malvern, PA
Nov 2004 to Nov 2008
Senior Research Scientist- Medicinal Chemist
Beard Research Inc
New Castle, DE
Jul 2001 to Jun 2003
Synthetic Organic Chemist
National Institute of Health
Bethesda, MD
Dec 1999 to Jul 2001
Research Fellow
Division of Medicinal Chemistry and Natural Products, School of Pharmacy
Chapel Hill, NC
Oct 1996 to Sep 1997
University of North Carolina
Organic Chemistry Laboratory Techniques, China Medical University, Taichung, Taiwan

Sep 1990 to Sep 1996
Teaching Assistant
Organic Chemistry Laboratory Techniques, China Medical University, Taichung, Taiwan

Aug 1992 to Jul 1993
Research Associate
Education:
National Institute of Health
Bethesda, MD
1999 to 2001
Ph.D. in Research Fellow
University of North Carolina
Chapel Hill, NC
Oct 1996 to Jul 1997
China Medical University
1993 to 1996
Doctoral in Medicinal Chemistry
China Medicial University
Bethesda, MD
1990 to 1992
M.S. in Medicinal Chemistry
China Medical University
Sep 1984 to Jun 1990
B.S. in Pharmacy
Skills:
Drug design, synthese, synthetic methodology, complex multistep synthetic sequences, radio synthese, purification, analysis, validation, analytical instruments, HPLC, distillation, crystallization, TLC, PTLC, CC, MPLC, GC-MS, LC-MS, NMR (1D, 2D), FTIR, UV-VIS, bioanalysis, caliper, bioanalizer 2100, centrifuge, Agilent Brovo automated platform, PCR, pipette; database software: SciFinder,Belilstein Crossfire; SAR experience, interpret biological data and Microsoft office (PowerPoint, word, excel).

Business Records

Name / Title
Company / Classification
Phones & Addresses
Yu Ping Lee
President
Tracy Lee & Chinese Food, Corp
2401 Polk St, San Francisco, CA 94109
Yu Lee
Owner
Sweet Delight Bakery
Retail Bakery Eating Place
3618 Moraga St, San Francisco, CA 94122
(415) 668-3016
Yu Ping Lee
President
NEW TIEN FU RESTAURANT, INC
Chinese Restaurant
1358 9 Ave, San Francisco, CA 94122
(415) 661-1803, (415) 682-8017
Yu Lee
Principal
Pacificom
Mfg Bread/Related Products
331 Clement St, San Francisco, CA 94118
(415) 668-3016
Yu Foong Lee
Nutritioneer Consulting LLC
800 Cambridge Ave, Menlo Park, CA 94025
Yu Ling Lee
Secretary
PO & YU, INC
Yu Chun Lee
President
ESTAROSSA INVESTMENT, INC
Yu Keung Lee
President
CASA DANNY (USA) INC
555 Montgomery St STE 1288, San Francisco, CA 94111

Publications

Us Patents

Reduction Of Iron Oxide Utilizing Dehydrating Agent

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US Patent:
43187340, Mar 9, 1982
Filed:
Feb 25, 1980
Appl. No.:
6/124197
Inventors:
Lawrence M. Scott - Newark CA
Irving Wolf - Los Altos CA
Yu C. Lee - Newark CA
Assignee:
Ampex Corporation - Redwood City CA
International Classification:
B22F 900
US Classification:
75 05BA
Abstract:
Highly orientable acicular iron particles are made by reducing an acicular ferric oxide in powder form by contacting the granular acicular ferric oxide with hydrogen in the presence of a dehydrating agent selected from calcium hydride, calcium, calcium carbide, and mixtures thereof.

Particles For Magnetic Recording

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US Patent:
42685400, May 19, 1981
Filed:
Feb 13, 1980
Appl. No.:
6/121196
Inventors:
Lawrence M. Scott - Newark CA
Irving W. Wolf - Los Altos CA
Yu C. Lee - Newark CA
Assignee:
Ampex Corporation - Redwood City CA
International Classification:
B05D 512
US Classification:
427127
Abstract:
Improved particles for magnetic recording are provided by coating gamma ferric oxide with a mixture of barium, strontium, lead or calcium and a trivalent iron oxide. The particles have enhanced coercivity and the coercivity is relatively unaffected by elevated temperatures.

Federated Database For Establishing And Tracking Risk Of Interactions With Third Parties

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US Patent:
20220407887, Dec 22, 2022
Filed:
Aug 24, 2022
Appl. No.:
17/894637
Inventors:
- San Francisco CA, US
Yu Zhou Lee - San Francisco CA, US
Lawrence Stockton Moore - San Francisco CA, US
Rami Faris Habal - San Francisco CA, US
Lei Xu - New York NY, US
International Classification:
H04L 9/40
G06Q 10/10
G06Q 10/06
H04L 67/30
G06F 16/335
H04L 51/212
H04L 51/214
H04L 67/50
G06F 16/25
Abstract:
Introduced here are computer programs and computer-implemented techniques for generating and then managing a federated database that can be used to ascertain the risk in interacting with vendors. At a high level, the federated database allows knowledge regarding the reputation of vendors to be shared amongst different enterprises with which those vendors may interact. A threat detection platform may utilize the federated database when determining how to handle incoming emails from vendors.

Multistage Analysis Of Emails To Identify Security Threats

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US Patent:
20220278997, Sep 1, 2022
Filed:
Feb 22, 2022
Appl. No.:
17/677822
Inventors:
- San Francisco CA, US
Jeshua Alexis Bratman - San Francisco CA, US
Dmitry Chechik - San Francisco CA, US
Abhijit Bagri - San Francisco CA, US
Evan Reiser - San Francisco CA, US
Sanny Xiao Lang Liao - San Francisco CA, US
Yu Zhou Lee - San Francisco CA, US
Carlos Daniel Gasperi - San Francisco CA, US
Kevin Lau - San Francisco CA, US
Kai Jiang - San Francisco CA, US
Su Li Debbie Tan - San Francisco CA, US
Jeremy Kao - San Francisco CA, US
Cheng-Lin Yeh - San Francisco CA, US
International Classification:
H04L 9/40
G06F 16/955
G06F 16/958
G06N 20/00
G06Q 10/10
G06F 16/951
Abstract:
Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Estimating Risk Posed By Interacting With Third Parties Through Analysis Of Emails Addressed To Employees Of Multiple Enterprises

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US Patent:
20210374679, Dec 2, 2021
Filed:
Aug 12, 2021
Appl. No.:
17/401143
Inventors:
- San Francisco CA, US
Yu Zhou Lee - San Francisco CA, US
Lawrence Stockton Moore - Palo Alto CA, US
Rami Faris Habal - San Francisco CA, US
Lei Xu - New York NY, US
International Classification:
G06Q 10/10
H04L 29/06
H04L 29/08
H04L 12/58
G06Q 10/06
G06F 16/335
Abstract:
Introduced here are computer programs and computer-implemented techniques for generating and then managing a federated database that can be used to ascertain the risk in interacting with vendors. At a high level, the federated database allows knowledge regarding the reputation of vendors to be shared amongst different enterprises with which those vendors may interact. A threat detection platform may utilize the federated database when determining how to handle incoming emails from vendors.

Approaches To Creating, Managing, And Applying A Federated Database To Establish Risk Posed By Third Parties

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US Patent:
20210374680, Dec 2, 2021
Filed:
Aug 12, 2021
Appl. No.:
17/401161
Inventors:
- San Francisco CA, US
Yu Zhou Lee - San Francisco CA, US
Lawrence Stockton Moore - Palo Alto CA, US
Rami Faris Habal - San Francisco CA, US
Lei Xu - New York NY, US
International Classification:
G06Q 10/10
H04L 29/06
H04L 29/08
H04L 12/58
G06Q 10/06
G06F 16/335
Abstract:
Introduced here are computer programs and computer-implemented techniques for generating and then managing a federated database that can be used to ascertain the risk in interacting with vendors. At a high level, the federated database allows knowledge regarding the reputation of vendors to be shared amongst different enterprises with which those vendors may interact. A threat detection platform may utilize the federated database when determining how to handle incoming emails from vendors.

Retrospective Learning Of Communication Patterns By Machine Learning Models For Discovering Abnormal Behavior

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US Patent:
20210329035, Oct 21, 2021
Filed:
Jun 28, 2021
Appl. No.:
17/361106
Inventors:
- San Francisco CA, US
Jeshua Alexis Bratman - Brooklyn NY, US
Dmitry Chechik - San Carlos CA, US
Abhijit Bagri - Oakland CA, US
Evan James Reiser - San Francisco CA, US
Sanny Xiao Yang Liao - San Francisco CA, US
Yu Zhou Lee - San Francisco CA, US
Carlos Daniel Gasperi - New York NY, US
Kevin Lau - Long Island NY, US
Kai Jing Jiang - San Francisco CA, US
Su Li Debbie Tan - San Mateo CA, US
Jeremy Kao - Corona CA, US
Cheng-Lin Yeh - Menlo Park CA, US
International Classification:
H04L 29/06
G06N 20/00
Abstract:
Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Programmatic Discovery, Retrieval, And Analysis Of Communications To Identify Abnormal Communication Activity

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US Patent:
20210297444, Sep 23, 2021
Filed:
Jun 7, 2021
Appl. No.:
17/341200
Inventors:
- San Francisco CA, US
Jeshua Alexis Bratman - Brooklyn NY, US
Dmitry Chechik - San Carlos CA, US
Abhijit Bagri - Oakland CA, US
Evan James Reiser - San Francisco CA, US
Sanny Xiao Yang Liao - San Francisco CA, US
Yu Zhou Lee - San Francisco CA, US
Carlos Daniel Gasperi - New York NY, US
Kevin Lau - Long Island NY, US
Kai Jing Jiang - San Francisco CA, US
Su Li Debbie Tan - San Mateo CA, US
Jeremy Kao - Corona CA, US
Cheng-Lin Yeh - Menlo Park CA, US
International Classification:
H04L 29/06
G06Q 10/10
G06F 16/901
H04L 12/24
H04L 12/58
Abstract:
Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.
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Yu Lee from San Francisco, CA, age ~42 Get Report