Ciarán Donegan
Machine Learning Researcher at Max Delbrück Center
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolCiarán Donegan is a machine learning researcher and PhD candidate based in Berlin with eight years of experience applying deep learning across healthcare, bioinformatics and computer vision. He currently bridges BIFOLD (TU Berlin) and the Max Delbrück Center, focusing on explainable AI to uncover gene regulation mechanisms after prior roles designing therapeutic proteins with ML at Epsilico. His background spans low-level C++ and production tooling to state-of-the-art PyTorch research, with experience optimizing networks for edge hardware during an Intel Movidius-focused internship. He combines academic rigor from Trinity College Dublin with practical product and engineering skills gained across startups and large enterprises, and has a track record of turning research prototypes into deployable systems. A less obvious strength is his cross-stack fluency—image acquisition and decoding, model architecture search, and labelling pipelines—which helps him translate biology questions into robust ML solutions.
8 years of coding experience
4 years of employment as a software developer
MAI Electronic & Computer Engineering, MAI Electronic & Computer Engineering at Trinity College DublinLeaving Cert, Leaving Cert at Ashbourne Community SchoolProgramming languages (4)
Github contributions (5)
donegaci/dotfiles
Nov 2021 - Sep 2022
Contributions:13 pushes, 1 branch in 10 months
donegaci/Data_Structures_and_Algorithms
Sep 2018 - Jan 2019
Contributions:27 pushes, 1 branch in 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.