About

Hello and welcome to my page! I'm Chrysovalantis Constantinou, a Postdoctoral Research Fellow in Medical Imaging AI at the Computation-based Science and Technology Research Center (CaSToRC) of The Cyprus Institute. My research focuses on applying artificial intelligence and machine learning techniques to medical imaging, specifically in building predictive models from MRI scans.

Previously, I was an Associate Research Scientist at the Science and Technology in Archaeology and Culture Research Center, also at The Cyprus Institute, where my research applied computational science to machine learning and simulation problems, focusing on material classification and medical imaging using transfer learning. I developed data science web applications, such as SexEst and AgeEst, to estimate the sex and age-at-death of ancient skeletons.

Before these roles, I worked as a Computational Scientist, again at the Cyprus Institute, where I co-led the coordination of a large infrastructure project, NI4OS-Europe, which focused on promoting open science across South-Eastern Europe. This position involved helping researchers onboard services, organizing workshops, and preparing deliverables for the European Commission. I also contributed to the development of 3D model previewers for Clowder, a data curation platform by the University of Illinois, while conducting machine learning research.

I hold a Ph.D. in Theoretical Nuclear Physics from the University of Notre Dame, where I introduced natural orbitals for no-core configuration interaction (NCCI) calculations in light nuclei, utilizing the supercomputers at NERSC. I also have postdoctoral research experience at Yale University, where I furthered my computational studies of light nuclei.

I have extensive teaching experience, including teaching physics at the International School of Paphos, and advanced physics courses at Monmouth College and the University of Notre Dame. Additionally, I am interested in web and game development, having created 3D websites using node.js and three.js, and I am currently exploring Unity3D.

My skills include high-performance computing and machine learning research, where I utilize libraries such as sklearn, TensorFlow, and PyTorch for building predictive models. I have experience in building and deploying containerized applications using Docker, as well as developing web applications with data science frameworks like Dash and Streamlit to visualize and interact with data models. I am continuously working on expanding my software development skills and contributing to a variety of scientific projects.

Thank you for visiting my page, and please feel free to reach out if you have any questions or if you're interested in collaborating on any of my ongoing research projects.