Difference between revisions of "User:ANoecker"

From REU@MU
Jump to: navigation, search
Line 1: Line 1:
== About Me==
+
==Personal Narrative==
  
Hello! I am Andrew Noecker, and I am a rising junior at St. Olaf College in Northfield, Minnesota. I am double majoring in Math and Computer Science with a concentration in Statistics and Data Science. I am on the swim team and play trombone in band and jazz band at St. Olaf. In my free time, I love to disc golf, travel, and read. This summer I will be working with Dr. Bialkowski and Dr. Gretebeck on '''[[Capturing nutritional value at the point of consumption using accessible and inexpensive technologies]]'''.  
+
As a double major in Math and Computer Science with a concentration in Statistics and Data Science, participation in Marquette University's Research Experience for Undergraduate Students (REU)... (c/p from website). A collaborative team including myself and mentorship from Dr. Bialkowski and Dr. Gretebeck on '''[[Capturing nutritional value at the point of consumption using accessible and inexpensive technologies]]'''.  
  
 
== Project Description==
 
== Project Description==
  
Summary: The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) seeks to optimize metabolic response in individuals or population subgroups through tailored dietary approaches to promote health and prevent and treat disease. Accurate assessment of nutritional intake among community-dwelling individuals at the point of intake is a major obstacle in precision nutrition evaluation. Without this fundamental information about nutritional lifestyle factors, a highly modifiable environmental condition, disparities across Race, Ethnicity, socioeconomic status, and age will persist. Our team of cross-disciplinary researchers is combining expertise in hyperspectral imaging, image processing, mobile technology, analytics, nutrition, psychology and human motivation to develop a robust and accurate platform of nutrition evaluation at the point of consumption. This important translational step forward will empower researchers across disciplines with the information needed to facilitate meaningful change and more equitable access to health.
+
The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) seeks to optimize metabolic response in individuals or population subgroups through tailored dietary approaches to promote health and prevent and treat disease. Accurate assessment of nutritional intake among community-dwelling individuals at the point of intake is a major obstacle in precision nutrition evaluation. Without this fundamental information about nutritional lifestyle factors, a highly modifiable environmental condition, disparities across Race, Ethnicity, socioeconomic status, and age will persist. Our team of cross-disciplinary researchers is combining expertise in hyperspectral imaging, image processing, mobile technology, analytics, nutrition, psychology and human motivation to develop a robust and accurate platform of nutrition evaluation at the point of consumption. This important translational step forward will empower researchers across disciplines with the information needed to facilitate meaningful change and more equitable access to health.
 +
 
 +
==Main Objectives (becomes deliverables later)==
 +
* Objective 1
 +
* Objective 2
 +
* Objective 3
  
 
==Weekly Log==
 
==Weekly Log==

Revision as of 15:00, 3 June 2021

Personal Narrative

As a double major in Math and Computer Science with a concentration in Statistics and Data Science, participation in Marquette University's Research Experience for Undergraduate Students (REU)... (c/p from website). A collaborative team including myself and mentorship from Dr. Bialkowski and Dr. Gretebeck on Capturing nutritional value at the point of consumption using accessible and inexpensive technologies.

Project Description

The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) seeks to optimize metabolic response in individuals or population subgroups through tailored dietary approaches to promote health and prevent and treat disease. Accurate assessment of nutritional intake among community-dwelling individuals at the point of intake is a major obstacle in precision nutrition evaluation. Without this fundamental information about nutritional lifestyle factors, a highly modifiable environmental condition, disparities across Race, Ethnicity, socioeconomic status, and age will persist. Our team of cross-disciplinary researchers is combining expertise in hyperspectral imaging, image processing, mobile technology, analytics, nutrition, psychology and human motivation to develop a robust and accurate platform of nutrition evaluation at the point of consumption. This important translational step forward will empower researchers across disciplines with the information needed to facilitate meaningful change and more equitable access to health.

Main Objectives (becomes deliverables later)

  • Objective 1
  • Objective 2
  • Objective 3

Weekly Log

Week 1

  • Attended orientation
  • Met with mentor to discuss project
  • Learned about wiki and updated it
  • Read grant proposal and got up to speed on the project
  • Developed list of skills that I want to develop throughout the summer that will be used to map out goals/milestones for the next 8-9 weeks in collaboration with Dr. Bialkowski and Dr. Gretebeck
  • Read literature and prepared review on technology currently available to estimate food volume