Summary
Victor Getty is a research-focused machine learning engineer with nine years of experience applying deep learning to biomedical and scientific problems, currently advancing cancer genomics at the Genome Institute of Singapore. Trained in physics and pure mathematics with an MS in Computer Science from Georgia Tech, he bridges rigorous theory and practical models across graph, chemistry, medical imaging, and traffic prediction domains. His track record includes internships and research roles at A*STAR and NTU where he delivered applied DL systems for hand pose estimation, bone age assessment, and lung cancer analysis. Comfortable moving projects from prototype to publication, he has a knack for turning complex datasets into reproducible research and production-ready code. Notably, his background in fundamental sciences informs a principled approach to model interpretability and experimental design.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BSc), Pure Physics with a second major in Pure Mathematics, Bachelor of Science (BSc), Pure Physics with a second major in Pure Mathematics at Nanyang Technological University
Physical Sciences, Physical Sciences at SMAK ST. Louis 1
English, Indonesian