Felder Lab Research Opportunities

Professor of Pathology
Associate Director of Clinical Chemistry
Laboratory Director Medical Automation Research Center
rfelder@virginia.edu

Laboratory Interests

I.  High Blood Pressure (hypertension) and Blood Pressure Sensitivity to Salt

Our research team consists of the Principal Investigator, Dr. Robin A. Felder (Pathology), co-investigator Dr. Robert M. Carey (Endocrinology), and co-investigator Dr. Pedro A. Jose (Pediatrics, Georgetown University, Washington, D.C.) and over 50 M.D.s, Ph.D.s, students and technologists that are studying the interaction between two regulatory pathways (dopamine and the renin angiotensin system) with key roles in kidney function and blood pressure regulation.  Our current program project grant is focused on investigating how the kidney regulates sodium transport and blood pressure through shared and independent molecular, cellular, and physiological pathways.

II.   Medical Automation and Robotics

The Medical Automation Research Center focuses on developing new automation technologies that improve the efficiency, safety and relevance of medical care.

1. Development of genetic and proteomic tests for predicting the early onset of either hypertension, salt sensitivity, or both
2. Development of a new generation of selective antihypertensive medications
3. Using systems biology and high content cellular analysis to dissect novel pathways for sodium homeostasis in the body
4. Purification and crystallization of cellular proteins with therapeutic interest

1. Engineering an automated platform for human cell and organogenesis production
2. Development of in home passive sensors for monitoring health and disease
3. Development of a fully automated genotyping and proteomic system for rapid, reliable, high throughput diagnostics

1. A general understanding of high blood pressure and salt sensitivity and the molecular mechanisms that lead to this disease
2. Modern laboratory methods for genomic and proteomic analysis
3. Basic engineering and programming of a variety of robots
4. Sensor engineering, digital and analogue signal processing, medical data mining