Alexander Glavin

Alexander Glavin is a skilled Software Engineer at Aurora, specializing in perception simulation since October 2021. Prior experience includes a role as a Deep Learning Research Intern at Johns Hopkins Hospital, where Alexander contributed to a collaborative project focusing on deep learning models for brain tumor analysis. At Thermo Fisher Scientific, two internships involved bioinformatics, including creating algorithms for gene distinction and developing a web-based analysis plugin for TRBV genes. Alexander was instrumental in a student start-up, AssistENT, which designed a nasal dilator and presented at Johns Hopkins Design Day, earning over $25K in awards and features in TechCrunch and Forbes. Additional experience includes leadership in community running events and early internships in polymer testing and language immersion. Alexander holds a Master of Science in Engineering and a Bachelor of Science from The Johns Hopkins University, with a strong foundation in computer science and biomedical engineering.