Nir Billfeld

I am a Deep Learning Algorithmic Technical Leader, I specialize in developing high-impact ML algorithms that push the subpixel boundaries of data analytics and causal inference in AI.

My journey began at the intersection of Economics and Statistics, where I learned that every number tells a story of incentives and equilibrium. During my PhD and subsequent Postdoctoral fellowship at the Weizmann Institute (computer science), I transitioned these classical foundations into the realm of Unsupervised ML and Computer Vision.

My research scope includes:

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• Generative AI: ESRGAN, StyleGAN, Diffusion Models.

• Semantic Vision: CLIP-based Encoding, Neural Objects.

• Meta learning and Foundations: Recurrent Neural Networks, Distillation.

• The Bridge: PyTorch, High-Performance Computing, Statistical Inference.

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