Dr. Levente K-Pápai

I have a strong interest in solving biomedical problems, developing novel medical technology and data products by utilising big data and ML techniques.
Gathered widespread interdisciplinary experience, counting 5+ years in academic research, 2.5+ years in machine learning and data wrangling, and 1.5 years in clinical medicine.
Being a passionate lifelong learner allows me to be a competent expert with a wide range of skills.


5+ years


2.5+ years

Clinical medicine

1.5 years


Medical Data Scientist


  • Implemented the ETL dataflow and automatization of Computational Fluid Dynamics (CFD) simulation results
  • Improved the vascular suture ranking score model, initial MAE reduced by 52%
  • Built and refining further algorithms for predicting vascular deterioration, surgical complication and manual error
  • Developed and maintaining a data acquisition/annotating platform for 3D objects
  • Dockerized and deploying in cloud platforms
  • Doctoral research project in the topic of AI in surgical education

Medical Doctor

  • Anesthesia experience in gynecologic, obstetric, oro-maxillofacial, ophtalmic, ENT and urologic surgeries.
  • Education experience in high-fidelity simulation skill practices, teaching the BLS/ALS protocols, ABCDE patient assessment and SBAR communication for medical students.

Undergraduate Researcher

Semmelweis University

  • Research experience in inflammatoric immunophysiology and animal models at the Department of Physiology.
  • In vitro research toolset of ELISA, cell-adhesion assays, platelet-activation experiments, Western blot, flow cytometry, cell preparation and cultures.
  • Experience with in vivo models of autoimmune diseases, transgenic mice, the Cre-lox system, and haemopoetic chimeras.


Biomedical Engineering for Sustainable Development
Gruppo Nazionale di Bioingegneria
Deep Learning Specialization
Data Science Specialization
Johns Hopkins University
Open Innovation Management in Healthcare
Leveraging E-health Workforce Summer School
EIT & IESE Business School & Semmelweis University

Honors & Awards


  • 3D data
  • Fluid dynamics
  • Computational geometry
  • Regression models
  • Hypothesis testing
  • Data product development
  • ETL
  • Research
  • R&D
  • Biomedicine
  • Computational biology
Main tech skills
  • Python
  • R Studio
  • SQL
  • PHP
  • Docker
  • Git/GitHub
  • MS Azure
  • Tableau
  • Dataiku
  • Unix
Python libraries
  • sklearn
  • xgboost
  • pytorch
  • keras
  • pandas
  • scipy
  • statsmodels
  • slqalchemy
  • nltk
  • beautifulsoup
  • scrapy
  • gensim
  • pgmpy
  • shap
  • vmtk
  • vtk
  • Symfony6
  • Flask
  • R Shiny
  • npm/yarn
  • bootstrap
  • webpack
  • English
  • Swedish
  • Hungarian
  • (German)


ORCID: 0000-0002-2586-8960

ResearchGate: Levente-Kiss-Papai

Scopus: 57201271260

MTMT: 10079459

ResearcherID: GPP-1896-2022

Please enter the current year here in YYYY format (eg.: 2010)!