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.

Research

5+ years

Data

2.5+ years

Clinical medicine

1.5 years

Experience

Medical Data Scientist

Youranastomosis
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  • 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
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  • 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.

Courses

2022
Biomedical Engineering for Sustainable Development
Gruppo Nazionale di Bioingegneria
(curr.)
Deep Learning Specialization
deeplearning.ai
2020
Data Science Specialization
Johns Hopkins University
2020
Open Innovation Management in Healthcare
HealthIL
2019
Leveraging E-health Workforce Summer School
EIT & IESE Business School & Semmelweis University

Honors & Awards

Skills

Competencies
  • 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
Web
  • Symfony6
  • HTML/JS/CSS
  • Flask
  • R Shiny
  • npm/yarn
  • bootstrap
  • webpack
Languages
  • English
  • Swedish
  • Hungarian
  • (German)

Contact

ORCID: 0000-0002-2586-8960

ResearchGate: Levente-Kiss-Papai

Scopus: 57201271260

MTMT: 10079459

ResearcherID: GPP-1896-2022

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