Lab of Biomolecular Dynamics and Engineering, Department of Chemical Engineering, University of Patras.
My interest in understanding how the world works at the microscopic level led me to study Chemistry at the University of Ioannina, where I developed a strong foundation in physical, theoretical, and computational chemistry. Early in my academic journey, I was particularly drawn to the intersection between physical chemistry and biochemistry, which motivated me to pursue a path that integrates these disciplines through computational approaches. My Master's thesis involved a detailed computational investigation of the thermodynamic, structural, and dynamic properties of thiocyanate ions in mixed solvent environments, providing an ideal framework for developing robust methodologies and gaining hands-on experience in simulation workflows, statistical analysis, and numerical validation.
Currently, as a PhD candidate at the University of Patras, my research focuses on biomolecular systems, specifically RNA-guided endonucleases and their role in genome editing. My work involves designing and performing molecular dynamics simulations, analyzing complex biological datasets, and uncovering the relationships between structure, dynamics, and function. I regularly work with Python-based scientific libraries, including NumPy and SciPy for numerical computations, as well as domain-specific tools such as MDAnalysis and PyEMMA for trajectory analysis and kinetic modeling. I also use machine learning and data analysis approaches, including principal component analysis (PCA) and clustering methods such as k-means and HDBSCAN, to identify meaningful patterns in high-dimensional simulation data.
Alongside my research, I have gained teaching experience as a graduate teaching assistant in multiple laboratory courses, including physical chemistry, organic chemistry, polymers, and physics. I also trained in machine learning force fields at the University of Luxembourg, further expanding my expertise in integrating data-driven approaches with traditional computational chemistry methods. My goal is to leverage computational chemistry, numerical methods, and programming to contribute to meaningful scientific advancements with both academic and real-world impact.
PhD Thesis: "RNA-guided endonucleases for gene editing: Dynamics and engineering." Supervisor: Vangelis Daskalakis.
MSc Thesis: "Theoretical–computational study of the thermodynamic, structural and dynamic properties, as well as of the solvation mechanisms of thiocyanate anions in mixed N,N-dimethylformamide–water liquid solvents." Supervisor: Ioannis Skarmoutsos.
Final year thesis: "Study of structural alterations in molecular systems by means of vibrational and acoustic spectroscopies and theoretical calculations." Supervisor: Angelos Kalampounias. Recipient of scholarships and an award of excellence from the State Scholarship Foundation (IKY), two honourable mentions from the University of Ioannina, and a certificate of pedagogic and teaching competence.
Laboratory teaching assistant for the undergraduate module "Physics 2," spring semester 2025–26.
Laboratory teaching assistant for the undergraduate module "Polymers Laboratory," spring semester 2024–25.
Laboratory teaching assistant for the undergraduate module "Laboratory of Organic Chemistry," fall semester 2024–25.
Laboratory teaching assistant for the undergraduate module "Laboratory of Physical Chemistry I," fall semester 2023–24.
Chemical and microbiological analyses of milk and dairy products, chemical and organoleptic evaluation of final products, and determination of pathogenic microorganisms.