Person

Liesel Schneider

Assistant Professor | Animal Science
Overview

My research interests broadly focus on livestock health epidemiology. More specifically I am leading or collaborating in projects pertaining to early detection of respiratory disease in beef cattle, pre-harvest food safety, real-time monitoring of animal health, and applied statistical methods. Much of my previous work focused on the intersection of animal and human health by describing the ecology and epidemiology of enterohemorrhagic E. coli (EHEC) in beef cattle populations. EHEC are important human foodborne pathogens with a bovine reservoir. Similarly, understanding epidemiology of foodborne pathogens in reservoir livestock populations can improve our ability to implement pre-harvest control measures.

Bovine respiratory disease is the leading cause of illness and death in cattle of all types. As we strive to produce animal protein sources for an expanding global population, efforts to reduce illness and death while reducing the use of medically important antimicrobials is imperative. Early detection of disease in calves is one way we may be able to reduce illness in the population, subsequent mortality, and general calf well-being.

In addition to my independent research program, I provide statistical support to faculty and graduate students across UTIA as a portion of my split appointment. For information regarding my consulting availability, please use the link here https://lschneiderutk.youcanbook.me/.

Research Focus

Beef Cattle Health
Veterinary Epidemiology
Applied Biostatistics

Teaching Focus

ANSC 571: Design and Analysis of Biological Research

Research Questions
  • Factors associated with onset of Bovine Respiratory Disease in stocker cattle
  • Remote monitoring of beef cattle to predict health and performance outcomes
Picture of Liesel Schneider
232 Brehm Animal Science Building
2506 River Dr
Knoxville, TN 37996
Education and Training
  • PhD, Epidemiology, Mississippi State University, 2017
  • BS, Animal Sciences, Other, Mississippi State University, 2013

Liesel Schneider

Assistant Professor | Animal Science
Picture of Liesel Schneider image
232 Brehm Animal Science Building
2506 River Dr
Knoxville, TN 37996
Education and Training
  • PhD, Epidemiology, Mississippi State University, 2017
  • BS, Animal Sciences, Other, Mississippi State University, 2013
Overview

My research interests broadly focus on livestock health epidemiology. More specifically I am leading or collaborating in projects pertaining to early detection of respiratory disease in beef cattle, pre-harvest food safety, real-time monitoring of animal health, and applied statistical methods. Much of my previous work focused on the intersection of animal and human health by describing the ecology and epidemiology of enterohemorrhagic E. coli (EHEC) in beef cattle populations. EHEC are important human foodborne pathogens with a bovine reservoir. Similarly, understanding epidemiology of foodborne pathogens in reservoir livestock populations can improve our ability to implement pre-harvest control measures.

Bovine respiratory disease is the leading cause of illness and death in cattle of all types. As we strive to produce animal protein sources for an expanding global population, efforts to reduce illness and death while reducing the use of medically important antimicrobials is imperative. Early detection of disease in calves is one way we may be able to reduce illness in the population, subsequent mortality, and general calf well-being.

In addition to my independent research program, I provide statistical support to faculty and graduate students across UTIA as a portion of my split appointment. For information regarding my consulting availability, please use the link here https://lschneiderutk.youcanbook.me/.

Research Focus

Beef Cattle Health
Veterinary Epidemiology
Applied Biostatistics

Teaching Focus

ANSC 571: Design and Analysis of Biological Research

Research Questions
  • Factors associated with onset of Bovine Respiratory Disease in stocker cattle
  • Remote monitoring of beef cattle to predict health and performance outcomes