Summary
Avi Ziskind is a Senior Machine Learning Engineer with 11 years of experience applying deep learning, computer vision, and computational neuroscience to real-world problems across defense, medical imaging, and autonomous systems. He has led research teams and built robust AI for high-consequence environments—ranging from lung nodule detection in CT scans to AI red-teaming, domain-shift detection, and lifelong learning for DARPA programs. Comfortable bridging theory and production, Avi’s background spans psychophysics-informed model analysis, neuro-inspired algorithms, and quantized networks for edge deployment. He has a PhD in Computational Neuroscience and a rare mix of skills that let him translate biological insights into practical, trustworthy ML solutions for safety-critical applications.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computational Neuroscience, Doctor of Philosophy (Ph.D.) Computational Neuroscience at Columbia University
Bachelor of Arts (B.A.) Physics, Bachelor of Arts (B.A.) Physics at Princeton University
Hebrew, Afrikaans, English