Konstantinos Giannakis

    Giannakis Konstantinos: Curriculum Vitae
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I am an Assistant Professor in the Department of Informatics at the Ionian University and a memebr of the Humanistic and Social Informatics Laboratory since late 2025. My prior roles include postdoctoral researcher in the Department of Mathematics at the University of Bergen and permanent researcher at the Norwegian Institute of Public Health, collaborating with IHME (in Seattle) on public‑health projects. I earned a PhD in theoretical computer science (2016) and pursued postdoctoral work in algorithms, data science, and statistics. I have authored 50+ peer‑reviewed publications (majority as first or corresponding author), including articles in high‑impact journals and pieces featured in popular science outlets. I have participated in funded R&D, review for conferences/journals, organize workshops and summer schools, and enjoy teaching and supervising students at undergraduate and graduate levels. My research covers public‑health metrics and forecasting, symbolic AI, statistical and machine learning (theory and applications), computational intelligence, computational biology with a special focus on organelles, linked data, bioinspired computation, and knowledge representation. Recently I started thinking about multimodal ML (working with Dionisis Pylarinos, a bright PhD student) and the role of AI in teaching.

Follow my Google Scholar profile for a full list of publications.

Check my personal webpage for more info.

Active collaboration with:

• Stochastic Biology Group at the University of Bergen.
• Future Health Scenarios team in IHME, Seattle, WA via the GBD Collaborating Unit.
• Centre for Disease Burden in the Norwegian Institute of Public Health

*** If you're interested in pursuing a PhD or other form of collaboration and believe my research aligns with your interests, please get in touch to discuss potential supervision, projects, scholarship applications ***

Select recent publications:

1. Naghavi, M., Kyu, H. H., Aalipour, M. A., Aalruz, H., Ababneh, H. S., Abafita, B. J., ... & Al Homsi, A. (2025). Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023. The Lancet, 406(10513), 1811-1872.
2. Naghavi, M., Vollset, S. E., Ikuta, K. S., Swetschinski, L. R., Gray, A. P., Wool, E. E., ... & Dekker, D. M. (2024). Global burden of bacterial antimicrobial resistance 1990–2021: a systematic analysis with forecasts to 2050. The Lancet, 404(10459), 1199-1226.
3. Giannakis, K., Broz, A. K., Sloan, D. B., & Johnston, I. G. (2023). Avoiding misleading estimates using mtDNA heteroplasmy statistics to study bottleneck size and selection. G3: Genes, Genomes, Genetics, 13(6), jkad068.
4. Giannakis, K., Arrowsmith, S. J., Richards, L., Gasparini, S., Chustecki, J. M., Røyrvik, E. C., & Johnston, I. G. (2022). Evolutionary inference across eukaryotes identifies universal features shaping organelle gene retention. Cell Systems, 13(11), 874-884.
5. Giannakis, K., Chustecki, J. M., & Johnston, I. G. (2022). Exchange on dynamic encounter networks allows plant mitochondria to collect complete sets of mitochondrial DNA products despite their incomplete genomes. Quantitative Plant Biology, 3, e18.