DR. JOSEPH LAU, M.D.
Osteopathic Medicine at Washington St, Boston, MA

License number
Massachusetts 51129
Category
Osteopathic Medicine
Type
Internal Medicine
Address
Address 2
750 Washington St, Boston, MA 02111
49 Eliot Hill Rd, Natick, MA 01760
Phone
(617) 636-7670
(617) 636-8628 (Fax)
(508) 653-4003

Personal information

See more information about JOSEPH LAU at radaris.com
Name
Address
Phone
Joseph Lau
49 Eliot Hill Rd, Natick, MA 01760
Joseph Lau
49 Eliot Hill Rd, Natick, MA 01760
Joseph Lau
42 Skyline Dr, Malden, MA 02148
Joseph Lau
178 Lake Shore Rd, Brighton, MA 02135
Joseph Lau
10 Milk St, Boston, MA 02108

Organization information

See more information about JOSEPH LAU at bizstanding.com

Joseph Lau

8 Foster St, Allston, MA 02134

Phone:
(617) 787-5761 (Phone)
SIC:
7372 - Prepackaged Software


Joseph Lau MD,MPH,MA

260 Tremont St, Boston, MA 02116

Industry:
Internist
Phone:
(617) 636-6222 (Phone)
Joseph Lau

Professional information

Joseph Lau Photo 1

Joseph Lau - Boston, MA

Work:
Royal Bank of Scotland - RBS Citizens Business Services - Cranston, RI
Vice President, Third Party Assurance, Corporate Security Services
H.C. Starck Inc - Newton, MA
Senior IS Analyst
Bayer Corporation - H.C. Starck Inc - Newton, MA
IS Analyst
The Gillette Company - Boston, MA
Domino Administrator
Education:
New York University
Graduate Certificate in Information Technology
Northeastern University
Bachelor of Science in Business Administration
Skills:
Apple Certified Support Professional Certified Information Systems Auditor (CISA) Certified Information Security Manager (CISM) Certified in Risk and Information Systems Control (CRISC) Certified Chief Information Security Officer (C|CISO) Cisco Certified Design Associate (CCDA) Cisco Certified Network Associate (CCNA) Certified CLP Domino R5 Principal System Administrator Cisco Wireless LAN Support Specialist ITIL Version 3 Foundation Certified (ITIL-F) IBM Certified System Administrator ND 8 Juniper Networks Certified Internet Specialist (Firewall/VPN , SSLVPN) IBM Certified Advanced System Administrator ND 6/6.5/7 Microsoft Certified Solution Associate (MCSA) Microsoft Certified IT Professional (MCITP) Enterprise Administrator, Server Administrator


Joseph Lau Photo 2

Joseph Lau, Boston MA

Specialties:
Internist
Address:
750 Washington St, Boston, MA 02111
800 Washington St, Boston, MA 02111
Education:
Tufts University, School of Medicine - Doctor of Medicine
St. Luke's-Roosevelt Hospital Center - Residency - Internal Medicine
Board certifications:
American Board of Internal Medicine Certification in Internal Medicine


Joseph Lau M.p.h. Photo 3

Joseph Lau M.P.H., Boston MA

Specialties:
Internal Medicine, General Practice
Work:
New England Eye Center
750 Washington St, Boston, MA 02111
Education:
Tufts University (1978)


Joseph Lau Photo 4

Dr. Joseph Lau, New Hyde Park NY - MD (Doctor of Medicine)

Specialties:
Internal Medicine
Address:
Long Island Jewish Md Ctr Cardi
27005 76Th Ave SUITE O-4000, New Hyde Park 11040
(718) 470-7330 (Phone)
Certifications:
Internal Medicine, 1981
Awards:
Healthgrades Honor Roll
Languages:
English
Hospitals:
Long Island Jewish Md Ctr Cardi
27005 76Th Ave SUITE O-4000, New Hyde Park 11040
Tufts Medical Center
800 Washington Street Pl, Boston 02111
Education:
Medical School
Drexel University College of Medicine
Graduated: 1936
Tufts University
Graduated: 1978
St Luke's Hospital
New England Medical Center


Joseph Lau Photo 5

Method And System For Active Learning Screening Process With Dynamic Information Modeling

US Patent:
8126826, Feb 28, 2012
Filed:
Sep 19, 2008
Appl. No.:
12/234219
Inventors:
Victor J. Pollara - Dickerson MD, US
Joseph Lau - Natick MA, US
Christopher H. Schmid - Natick MA, US
Assignee:
Noblis, Inc. - Falls Church VA
International Classification:
G06F 15/18, G06N 5/02
US Classification:
706 14, 706 61
Abstract:
Systems and methods consistent with the present invention improve manual screening processes for a group of documents by implementing an active learning screening process with dynamic information modeling. A classification algorithm is trained to recognize the relationships between concept tags applied to a subset of the documents and true or correct utility or relevance ratings applied to the subset of documents. Once adequately trained using several subsets of documents, the classification algorithm may be applied to the entire group of documents, screening out documents that are not relevant or important.