Nikola N. Grubor, M.D.

I am a radiology resident, biostatistics teaching assistant, and PhD student of medical statistics and bioinformatics at the Belgrade Medical School Institute for Medical Statistics and Bioinformatics. I aim to make the science of medicine more approachable to the public and help researchers answer interesting questions. Bayesian scientific modeling offers a unique approach to quantifying uncertainty and incorporating prior knowledge via domain expertise elicitation, which can aid small and underfunded research teams in making a more significant impact. I have experience working in large research teams and managing communication with large groups of students. My involvement in patient care has led me to develop skills in making complex topics more approachable.

Education

• Radiology Resident
  University of Belgrade Medical School | Apr 2024 — Present
  

• Ph.D. Student (Medical Statistics and Bioinformatics)
  Institute for Statistics and Bioinformatics | Nov 2022 — Present
  University of Belgrade Medical School

• Advanced Teaching Skills
  Harvard Medical School Postgraduate Medical Education | Jun 2023
  Brigham and Women’s Hospital

• Regenerative Medicine and Surgery, Fundamentals & Advanced Courses
  Mayo Clinic School of Medicine | Feb 2022 & Jun 2022

• Doctor of Medicine – M.D.
  University of Belgrade Medical School | 2015 — 2022

Experience

• Teaching Assistant, Medical Statistics & Informatics
  Department for Medical Statistics and Informatics, Belgrade University Medical School | Apr 2024 — Present

• Research
  Department for Medical Statistics and Informatics, Belgrade University Medical School | Sept 2022 — Present

• Past Collaboration

  1. Clinic for Digestive Surgery (First Surgical Clinic), University Clinical Center of Serbia
     
  2. Institute for Biological Research “Siniša Stanković”

• Clinical Internship
  University Clinical Center of Serbia | Sept 2022 — Mar 2023

• Social Media Marketing Intern
  DEFINE Digital | Sept 2021 — Oct 2021