University of Bonn
Jesse HanCo-founder and CEO · Math Inc.Researcher↗Both at Math Inc.
Researcher · Founder
Christian Szegedy
Math Inc.Co-founder
Szegedy helped create Inception, an influential design for recognizing images[1], and batch normalization, which made neural networks faster and more stable to train.[2] He also exposed adversarial examples: tiny, often invisible image changes that can make an AI confidently choose the wrong answer.[3]
Career & education
Current roleMath Inc.2025-presentCo-founder
Math Inc.2025-presentPreviously
Morph Labs2025-2025Chief Scientist
SpaceXAI2023-2025Founding team member
Google2010-2023Research Scientist
Morph Labs2025-2025SpaceXAI2023-2025Google2010-2023Education
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations351,800As of Nov 1, '26
citations+3,644Since last snapshot, Oct 1, '26
Selected contributions
Going Deeper with Convolutions
With Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke and others ·GoogLeNet recognizes images with parallel filters operating at different scales.
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
With Sergey IoffeBatch normalization rescales signals inside neural networks to speed up training.
References
- Going Deeper with Convolutions — Inceptionarxiv.org
Szegedy helped create Inception, an influential design for recognizing images
- Batch Normalization — original paperarxiv.org
and batch normalization, which made neural networks faster and more stable to train.
- Intriguing properties of neural networks — adversarial examplesarxiv.org
He also exposed adversarial examples: tiny, often invisible image changes that can make an AI confidently choose the wrong answer.
Based on public sources. If accuracy is important, verify details using the links or references.
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Reviewed August 7, 2026 · Checked for accuracy and new information.