Daniel T Reese

age ~36

from Yorktown, VA

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Also known as:

Daniel Tyler Reese
Daniel Treese

Connected to:

Daniel Reese Phones & Addresses

Yorktown, VA
501 Knolls Dr UNIT 303, Newport News, VA 23602 • 5169969119
Madison, WI
Somerville, MA
111 Country Club Dr, Prt Washingtn, NY 11050 • 5169969117
Port Washington, NY
Roslyn, NY
111 Country Club Dr, Port Washington, NY 11050

Work

Company:

Trust & estates group
Jan 2012
Position:

Administrative professional for the trust & estates group

Education

School / High School:

Foothill College- Los Altos Hills, CA
Jan 2008
Specialities:

Accounting and Music

Medicine Doctors

Daniel B. Reese

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Specialties:

Cardiovascular Disease

Work:

Pan Handled Cardiology
1000 Tavern Rd STE 200, Martinsburg, WV 25401
3042649485 (phone), 3042649987 (fax)

Education:

Medical School
University of Virginia School of Medicine
Graduated: 1992

Procedures:

Pacemaker and Defibrillator Procedures
Angioplasty
Cardiac Catheterization
Cardiac Stress Test
Cardioversion
Continuous EKG
Echocardiogram
Electrocardiogram (EKG or ECG)

Conditions:

Acute Myocardial Infarction (AMI)
Angina Pectoris
Atrial Fibrillation and Atrial Flutter
Cardiomyopathy
Heart Failure

Languages:

English

Description:

Dr. Reese graduated from the University of Virginia School of Medicine in 1992. He works in Martinsburg, WV and specializes in Cardiovascular Disease. Dr. Reese is affiliated with Winchester Medical Center.

Wikipedia

List of Mk characters

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…Eventually, Adrian finds that Jack was framed by Daniel Reese, a guard at the prison who was Lindsey's boyfriend and the real killer. Jack is able to overcome Reese by running him over with Natalie's car. He goes back to prison, though Randy's handcuff key "went missing". He is mentioned in ...

Name / Title

Company / Classification

Phones & Addresses

Daniel Reese
Senior Director Support

Moulton Street Associates
Operators of Nonresidential Buildings

100 Cambridgepark Dr # 5, Cambridge, MA 02140

Daniel Reese
Director

FIRE AND EMERGENCY MANUFACTURERS AND SERVICES ASSOCIATION

29 Stillman Rd, Lynnfield, MA 01940
505 Mccormick Dr, Glen Burnie, MD 21061

Daniel Reese
Senior Director Support

Moulton Street Associates
Nonresidential Building Operator · Computer Software

100 Cambridgepark Dr, Cambridge, MA 02140
6174924410, 6178762973

Daniel T Reese

PLEASANT VALLEY TRADING COMPANY LLC

Daniel R. Reese
Executive Vice-President

New York Fellowship Inc
Religious Organization

61 Gramercy Park N, New York, NY 10010
232 E 32 St, New York, NY 10016
2129799690

Daniel R Reese
Partner

ERNST & YOUNG U.S. LLP

Daniel R Reese
Partner

ERNST & YOUNG LLP

Resumes

Daniel Reese Mountain View, CA

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Work:

Trust & Estates Group

Jan 2012 to 2000
Administrative Professional for the Trust & Estates Group Lakin Spears, LLP
Palo Alto, CA
Dec 2004 to Jan 2012
Front Desk Coordinator

Education:

Foothill College
Los Altos Hills, CA
Jan 2008 to May 2009
Accounting and Music Liberty University
Virginia Beach, VA
Aug 2007 to Oct 2007
Business De Anza College
Cupertino, CA
Jan 1999 to Mar 1999
Computer science California State University of Northridge
Northridge, CA
Jan 1997 to Jun 1998
Computer science

License Records

Daniel Paul Reese

License #:

MT033012T - Expired

Category:

Medicine

Type:

Graduate Medical Trainee

Us Patents

Automated Camera Handoff System For Figure Tracking In A Multiple Camera System
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US Patent:

6359647, Mar 19, 2002
Filed:

Aug 7, 1998
Appl. No.:

09/131243
Inventors:

Soumitra Sengupta - Stamford CT
Damian Lyons - Putnam Valley NY
Thomas Murphy - Manchester NH
Daniel Reese - Landisville PA
Assignee:

Philips Electronics North America Corporation - New York NY
International Classification:

H04N 718
US Classification:

348154, 348143, 348153, 348159, 348169
Abstract:

The invention provides for the automation of a multiple camera system based upon the location of a target object in a displayed camera image. The preferred system provides a nearly continuous display of a figure as the figure moves about throughout multiple cameras potential fields of view. When the figure approaches the bounds of a selected cameras field of view, the system determines which other cameras potential field of view contains the figure, and adjusts that other cameras actual field of view to contain the figure. When the figure is at the bounds of the selected cameras field of view, the system automatically selects the other camera. The system also contains predictive location determination algorithms. By assessing the movement of the figure, the system selects and adjusts the next camera based upon the predicted subsequent location of the figure.