About Me

Scientist · Programmer · Educator · Researcher

Welcome!

I am a Mongolian scientist and programmer based in Hungary, currently pursuing my PhD in Computational Virology at ELTE. My research focuses on modeling historical epidemics, analyzing virus transmission, and evaluating the impact of public health measures. I am passionate about applying data science, bioinformatics, and computational modeling to solve complex real-world problems and make science more accessible.



Over the years, I have collaborated with international research initiatives and open science projects, including the Independent Science Initiative based in London. I have contributed to global advisory efforts and interdisciplinary projects in computational biology, data analysis, and epidemiology.



Fluent in English and Mongolian (some Hungarian), I bring a curious, pragmatic, and collaborative mindset to my work. I enjoy bridging cultures, working across disciplines, and building projects that have real-world impact.



Outside the lab, I explore automation challenges, contribute to software tools, and contribute to open science projects, all while enjoying life in Hungary with my family. I like to dabble in photography in my free time.

Skills & Tools

Python R Git Linux Machine Learning Data Visualization Web Development Scientific Computing

Teaching

As part of my academic journey, I have supported several courses, focusing on making complex concepts accessible and fostering critical thinking in technology and data analysis.


  • 2025–2025: Coming soon
A cat a day keeps the stress away

Research

My PhD research applies computational methods to scientific data, exploring how mathematical modelling can help shed light to patterns and drive discoveries in the natural sciences.

Publications

Selected works and papers:

Conferences & Talks

I regularly present my work at international conferences and workshops. These experiences not only help me grow as a researcher but also allow me to connect with brilliant minds worldwide.