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Christopher Kaltenecker
Ing. Christopher Kaltenecker, PhD

Department of Pathology
Position: Research Assistant

ORCID: 0000-0002-7795-2726
T +43 1 40400 70710


Automatic Data Processing; Machine Learning; Pattern Recognition, Automated; Programming Languages

Research group(s)

Research interests

Techniques, methods & infrastructure

  • common machine learning frameworks
  • high-performance compute environment
  • databases, application programming interfaces, structured data standards, data ontologies

Selected publications

  1. Kaltenecker, C.C. et al., 2020. Critical Role of Neprilysin in Kidney Angiotensin Metabolism. Circulation Research. Available at:
  2. Kovarik, J.J. et al., 2017. Effects of angiotensin-converting-enzyme inhibitor therapy on the regulation of the plasma and cardiac tissue renin-angiotensin system in heart transplant patients. The Journal of Heart and Lung Transplantation, 36(3), pp.355-365. Available at:
  3. Kovarik, J.J. et al., 2014. Molecular regulation of the renin-angiotensin system in haemodialysis patients. Nephrology Dialysis Transplantation, 30(1), pp.115-123. Available at:
  4. Kopecky, C. et al., 2014. Restoration of Renal Function Does Not Correct Impairment of Uremic HDL Properties. Journal of the American Society of Nephrology, 26(3), pp.565-575. Available at:
  5. Katholnig, K. et al., 2013. p38alpha Senses Environmental Stress To Control Innate Immune Responses via Mechanistic Target of Rapamycin. The Journal of Immunology, 190(4), pp.1519-1527. Available at: