Summary
Olga Gliko is a Senior Research Engineer with a PhD in Physics and over 8 years of experience building software and optical systems for large-scale image acquisition, processing, and analysis in neuroscience and biomedical settings. At the Allen Institute for Brain Science she applies machine learning for automated image classification and segmentation, translating complex optical instrumentation into reproducible data pipelines. Her background spans academic and industry research roles—from Moscow State University to Baylor College of Medicine and Ensysce Biosciences—bringing a rare combination of hands-on optics, algorithm development, and production engineering. Known for strong leadership and cross-disciplinary communication, she excels at turning experimental imaging challenges into scalable software tools that accelerate discovery.
8 years of coding experience
14 years of employment as a software developer
Lomonosov Moscow State University