Andinoos Eros Tsouchnikas

Envelope Linkedin

I received my Master’s degree in Boinformatics at the University of Copenhagen in 2019. During my last year I had also been working as a developer on deep learning and machine learning algorithms for brain tumor segmentation, involving mostly state-of-the-art Convolutional Neural Networks. My passion to combine AI technologies and available healthcare data in order to improve patient care, drove me to my current position in CSS. I am especially eager to be a part of the transformation of healthcare data under the global, standardized OMOP Common Data Model (CDM), which will form the basis to create robust predictive models and gain strong insights for personalized treatment.

– June 2023 – Today: Data Engineer/Scientist, Center for Surgical Science, Zealand University Hospital

– March 2021 – June 2023: Lead Data Scientist, Center for Surgical Science, Zealand University Hospital

– Mach 2020 – March 2021: Data Manager, Center for Surgical Science, Zealand University Hospital

– January 2019 – August 2019: Msc Student Developer, Cerebriu A/S, Copenhagen, Denmark

Sep 2017 – Sep 2019 MSc in Bioinformatics, University of Copenhagen, Copenhagen, Denmark

Sep 2011 – June 2017 BSc in Biochemistry & Biotechnology, University of Thessaly, Larissa, Greece

  • Training prediction models for individual risk assessment of postoperative complications after surgery for colorectal cancer – V. Lin, A. Tsouchnika, E. Allakhverdiiev, A. W. Rosen, M. Gögenur, J. S. R. Clausen, K. B. Bräuner, J. S. Walbech, P. Rijnbeek, I. Drakos, I. Gögenur – 2022 – Techniques in Coloproctology volume 26, 665–675
  • Developing prediction models for short-term mortality after surgery for colorectal cancer using a Danish national quality assurance database – K. B. Bräuner, A. W. Rosen, A. Tsouchnika, J. S. Walbech, M. Gögenur, V. A. Lin, J. S. R. Clausen, I. Gögenur – 2022 – International Journal of Colorectal Disease volume 37, 1835–1843
  • Fanini, L., Tsouchnika, A., Tsipourlianos, A., Lowry, J. (2017). ”Distribution of talitrid amphipods on the beaches of Crete: definition and role of different substrates and first report of Deshayesorchestia deshayesii (Audouin, 1826) (Talitridae) from Crete.” Biodiversity Journal, 8(2), 433-434.

Research keywords

#Machine Learning #Deep Learning #Observational Medical Outcomes Partnership (OMOP) #Common Data Model (CDM) #Prediction Models #Big Data Analytics #Personalized Medicine #Medical Informatics 
LAST UPDATE: JUN 2023