Rate My Professor John Healy

Dr. Healy's research encompasses bioinformatics, artificial intelligence, and machine learning. His peer-reviewed publications include "Soft Skills as Predictors of Success in Software Engineering Through Analysis of Confidence, Adaptability and Time Management" (2025), co-authored with O. Ishmael and E. Kiely, published in the Proceedings of the 6th European Conference on Software Engineering Education (ECSEE 2025) by the Association for Computing Machinery, pages 200-209. He contributed to "Antimicrobial protein and peptides from marine macroalgae" (2023), with M. Caprani, J. O'Keeffe, and O. Slattery, in Functional Ingredients from Algae for Foods and Nutraceuticals, Second Edition (Elsevier), pages 465-491. In 2022, "Using Reduced Amino-Acid Alphabets and Simulated Annealing to Identify Antimicrobial Peptides," co-authored with M. Caprani, O. Slattery, and J. O'Keeffe, appeared in Practical Applications of Computational Biology and Bioinformatics: 15th International Conference, PACBB 2021 (Springer), pages 11-21. Further works are "Identification of Antimicrobial Peptides from Macroalgae with Machine Learning" (2021, PACBB 2020, Springer, pages 1-11) and "Using an Ensemble to Identify and Classify Macroalgae Antimicrobial Peptides" (2021, Interdisciplinary Sciences: Computational Life Sciences, volume 13, issue 2, pages 321-333), both with M. Caprani, O. Slattery, and J. O'Keeffe. Additional research outputs include "Approximate k-Mer Matching Using Fuzzy Hash Maps," "Fast and Accurate Genome Anchoring Using Fuzzy Hash Maps," and "FLAK: Ultra-fast Fuzzy Whole Genome Alignment." The ensemble publication has 12 Scopus citations.