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Daniel Desalvo Phones & Addresses

  • Houston, TX
  • Menlo Park, CA
  • Georgetown, TX
  • Washington, DC
  • Temple, TX
  • Waco, TX

Work

Address: 111 Michigan Ave Nw, Washington, DC 20010 Specialities: Pediatrician

Education

School / High School: Tx a & M Univ Sys Hsc Coll Of Med 2008

Languages

English

Awards

Healthgrades Honor Roll

Ranks

Certificate: Pediatrics, 2011

Specialities

Pediatrics

Professional Records

Medicine Doctors

Daniel Desalvo Photo 1

Dr. Daniel J Desalvo, Washington DC - MD (Doctor of Medicine)

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Specialties:
Pediatrics
Address:
111 Michigan Ave Nw, Washington, DC 20010
Certifications:
Pediatrics, 2011
Awards:
Healthgrades Honor Roll
Languages:
English
Education:
Medical School
Tx a & M Univ Sys Hsc Coll Of Med
Graduated: 2008
Medical School
Children's Hospital NMC
Graduated: 2008
Daniel Desalvo Photo 2

Daniel Joseph Desalvo, Washington DC

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Specialties:
Pediatrician
Address:
111 Michigan Ave Nw, Washington, DC 20010

Resumes

Resumes

Daniel Desalvo Photo 3

Food Service Director

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Location:
Bethpage, NY
Industry:
Restaurants
Work:
Morton's the Steakhouse
Executive Chef

Mastro's Steakhouse
Executive Sous Chef


Food Service Director
Education:
The Culinary Institute of America 2008 - 2010
Skills:
Restaurants
Catering
Food
Menu Development
Restaurant Management
Hospitality
Culinary Skills
Fine Dining
Hospitality Management
New Restaurant Openings
Customer Service
Wine
Hospitality Industry
Cuisine
Daniel Desalvo Photo 4

Manager

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Location:
Houston, TX
Industry:
Transportation/Trucking/Railroad
Work:
Old Dominion Freight Line
Manager

Vitran Express Nov 2012 - Oct 2013
Service Center Manager

Ups Freight 2011 - 2012
Service Center Manager

Central Transport Sep 2005 - Jan 2011
Director of Operations

Fedex Freight 2003 - 2005
Service Center Manager
Education:
Tarleton State University 1989 - 1994
Bachelors, Bachelor of Science, Criminal Justice, Police Science
Richland High School 1986 - 1989
Skills:
Transportation Management
Ltl
Transportation
Trucking
Truckload
Transportation Planning
Logistics
Operations Management
Freight
Logistics Management
Dispatching
Transportation Engineering
Leadership
Shipping
3Pl
Dot Regulations
Container
Project Planning
Air Freight
Fleet Management
Warehousing
Freight Forwarding
Flatbed
Contract Management
Third Party Logistics
Warehouse Operations
Container Shipping
Ltl Shipping
Daniel Desalvo Photo 5

Pediatric Endocrinologist

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Location:
Houston, TX
Industry:
Medical Practice
Work:
Baylor College of Medicine
Assistant Professor

Texas Children's Hospital
Pediatric Endocrinologist

Stanford University School of Medicine Jul 2012 - Jun 2015
Pediatric Endocrinology Fellow

Children's National Health System Jul 2011 - Jun 2012
Chief Resident of Pediatrics
Education:
Stanford University School of Medicine 2012 - 2015
The George Washington University School of Medicine and Health Sciences 2008 - 2012
Texas A&M; University System Health Science Center - College of Medicine 2004 - 2008
Doctor of Medicine, Doctorates, Medicine
Baylor University 1999 - 2003
Bachelors, Bachelor of Arts
Daniel Desalvo Photo 6

Daniel Desalvo

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Publications

Us Patents

Glucose Prediction Systems And Associated Methods

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US Patent:
20220361780, Nov 17, 2022
Filed:
Oct 16, 2020
Appl. No.:
17/769883
Inventors:
- College Station TX, US
- Houston TX, US
Balakrishna Haridas - College Station TX, US
Daniel J. DeSalvo - Houston TX, US
Mark Alan Lawley - College Station TX, US
Achu Geetha Byju - College Station TX, US
Assignee:
THE TEXAS A&M UNIVERSITY SYSTEM - College Station TX
BAYLOR COLLEGE OF MEDICINE - Houston TX
International Classification:
A61B 5/145
A61B 5/00
Abstract:
A method for predicting a hypoglycemic event or a hyperglycemic event includes (a) collecting one or more data streams, wherein at least one of the one or more data streams includes a glucose (GL) data stream corresponding to a user, (b) determining one or more features based on the one or more collected data streams, wherein at least one of the one or more features is distinct from each of the one or more data streams, (c) generating a prediction of whether or not a hypoglycemic event or a hyperglycemic event will occur by a prediction model based on the one or more features determined at (b), and (d) issuing an alert to the user in response to the prediction generated at (c) including a prediction that a hypoglycemic event or a hyperglycemic event will occur.
Daniel Joseph Desalvo from Houston, TX, age ~43 Get Report