About
I’m a theoretical nuclear physicist who has spent the last few years moving between physics, machine learning, and forensic anthropology. Outside of research I make generative digital art and run a physics YouTube channel, and I’m always open to new collaborations.
I’m open to physics research collaborations and machine learning projects wherever the data has a real signal to model. I’m also open to project, collaboration, and job inquiries: get in touch.
Beyond the lab
I build Three.js visualizations and 3D web applications for fun as well as for work. That same interest in visual, interactive systems carries over into generative digital art, which I exhibited at Art Week Volterra 2025 (La Grande Bellezza Award, Volterra, Italy). I also run a YouTube channel walking through A-level (Edexcel IAL) physics past papers and other physics material.
Independent research, 2025 to present
Since 2025 I’ve been working independently across a few projects at once.
With my former PI Efthymia Nikita, I built a machine learning model that estimates sex from archaeological human remains excavated at ancient Dion, Greece. Skeletal assemblages from archaeological sites are often incomplete, so a lot of the work was in handling heavy missing data through imputation; the model reaches around 90 percent accuracy. Published as “Skeletal Sex Estimation for Human Remains From Archaeological Contexts: Machine Learning Models Based on Ancient Dion, Greece”, International Journal of Osteoarchaeology (2025).
Separately, with a group of researchers from Switzerland, Brazil, Bosnia and Herzegovina, Lebanon, and Indonesia, I built a forensic dentistry model that classifies whether someone has reached the legal age of majority from panoramic dental radiographs, using transfer learning on pretrained Vision Transformer and EfficientNetV2 models, published as “Classifying Legal Age of Majority (≥18 years) from Panoramic Radiographs with Transfer Learning: Benchmarking ViT and EfficientNetV2”, Journal of Forensic and Legal Medicine (2026). Full details are on my Publications page.
I also spent May and June of 2025 as a Visiting Researcher at the Université Libre de Bruxelles, where I built a machine learning model that predicts nuclear potential energy surfaces, essentially a map of how a nucleus’s energy changes as it stretches and deforms. The model was trained on Hartree-Fock-Bogoliubov calculations, a standard but computationally expensive nuclear structure method, and reached an R squared of 0.98 on nuclei it had never seen during training. A fast, accurate emulator like this is useful for exploring fission barriers and the half-lives that matter for the burning processes that power stars.
Earlier career
Before going independent, I spent 2019 to 2024 at the Cyprus Institute across a few roles. As a Computational Scientist (CaSToRC, 2019 to 2022), I co-led a work package on Open Science and FAIR data within NI4OS-Europe, a Horizon 2020 project (2019 to 2023) building national Open Science Cloud infrastructure across 15 EU member states and associated countries, in support of the EU’s European Open Science Cloud (EOSC). That work put me in regular contact with researchers in the humanities, which pulled me toward machine learning for osteoarchaeological data: it led to SexEst and AgeEst, two web apps I built for estimating skeletal sex and age-at-death from human remains, both published, with SexEst adopted as a demonstrator service within NI4OS-Europe. Building them also led me to pick up web-based 3D visualization with Three.js and 3DHOP, which I later incorporated into Clowder, a data curation platform originally developed at NCSA, University of Illinois. I then moved into an Associate Research Scientist role (STARC, 2023 to 2024), teaching A-Level Physics part time at the International School of Paphos alongside it (Aug 2023 to Apr 2024), before a short postdoctoral fellowship back at CaSToRC (Sept to Nov 2024).
Earlier still, I was a Visiting Assistant Professor of Physics at Monmouth College (Jan 2018 to Sept 2019), teaching introductory physics, classical mechanics, electromagnetism, and mathematical methods, and working with department chair Christopher Fasano on neutron activation, picking up a thread from my undergraduate thesis. Before that, I was a Postdoctoral Research Associate at Yale University (Oct 2016 to Dec 2017), working with Francesco Iachello on alpha clustering in light nuclei, atomic nuclei that behave as if built from smaller alpha-particle subunits. My PhD work was at the University of Notre Dame (Graduate Assistant, Aug 2009 to Sept 2016; PhD 2017), under Mark Caprio, developing natural orbitals for the no-core configuration interaction approach, a numerical method for computing the structure of light nuclei from first principles, published in Physical Review C, alongside a side project on generalized seniority, a simplifying approximation for medium-mass nuclei. I hold a Diploma in Applied Mathematics and Physical Sciences from the National Technical University of Athens, Greece (2009).
A full list of publications and talks is available on my Publications page.