Summary
Maria Dobko is an applied research scientist with nine years of cross-industry ML experience, combining deep academic research in computer vision with hands-on engineering across healthcare, cybersecurity, energy, and e-commerce. She has authored seven CV papers, presented at NeurIPS and CVPR, led research teams, and built production-ready pipelines for 3D medical image segmentation and disease classification. Currently at Illumio, she applies LLMs, NLP and graph learning to large-scale network data for cybersecurity, leveraging pre-trained embeddings for customer-facing solutions. Maria co-founded a MedTech startup, contributed open-source CV tools, and teaches applied computer vision—demonstrating an uncommon blend of publishing, product impact, and presales consulting.
9 years of coding experience
5 years of employment as a software developer
Summer School French language and culture, Summer School French language and culture at Institut catholique de Paris
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Ukrainian Catholic University
Master of Science in Applied Information Science, Master of Science in Applied Information Science at Technion - Israel Institute of Technology
Semester of research Machine Learning, Semester of research Machine Learning at Czech Technical University in Prague
Master of Science Information Systems in Health Tech Computer and Information Sciences General, Master of Science Information Systems in Health Tech Computer and Information Sciences General at Cornell University
English, Ukrainian, French