Dr. Eoghan O'Connell

Data Scientist
Room: A.1.444
Telephone: +49 9131 7133 555
E-Mail

As a Data Scientist within the Optomechanics group of MPL, I design and develop novel data pipelines and cutting-edge biological devices. I achieve these developments using my knowledge of Python, data science, simulation and experimental physics.

Research area:

Data Science, Data Analysis, Python development, Physics, Automation, Machine Learning, Cell mechanics, RT-DC

Highlighted publications:

O'Connell, E., Moore, K., McFall, E., Hennessy, M., Moynihan, E., Bangert, U., & Conroy, M. (2022). TopoTEM: A Python Package for Quantifying and Visualizing Scanning Transmission Electron Microscopy Data of Polar Topologies. Microscopy and Microanalysis, 28(4), 1444-1452. doi:10.1017/S1431927622000435
Ion-beam modification of 2-D materials-single implant atom analysis via annular dark-field electron microscopy, Ultramicroscopy 176, 31-36
Utilizing an Open-Source Workflow for the Analysis of Atom Dynamics in Two-Dimensional Materials, Microscopy and Microanalysis 25 (S2), 136-137
Charged Domain Wall and Polar Vortex Topologies in a Room Temperature Magnetoelectric Multiferroic Thin Film, Research Square
Highly charged 180 degree head-to-head domain walls in lead titanate, Nature Communications Physics 3 (1), 1-7

Bachelors of Science in Applied Physics, University of Limerick, Ireland
Internship Materials and Logistics Optimisation, Phillips Heathcare, Eindhoven, The Netherlands
Doctor of Philosophy (Physics) entitled "Automated Atomic Resolution Open-Source Analysis of Two-Dimensional Entities", University of Limerick, Ireland
Postdoctoral Researcher - Development of automatic analysis for atomic resolution EM images, University of Limerick, Ireland
Current: Data Scientist/Postdoctoral Researcher, Development of software, ML, and automated analysis of RT-DC data, Max Planck Institute for the Science of Light, Erlangen, Germany

Data Collection