pbonazzi / 21-neuromorphic-engineering Goto Github PK

👋🏻 I am a Machine Learning Research Scientist, Engineer at ETH Zurich. With a strong background on Statistics and half a decade of experience in training models.

🔥 Currently, I'm working on Efficient Machine Learning (QAT, Spiking Neuron Networks, Hardware-Aware Network Design). To this end, I interface a lot with hardware especially with Neuromorphic Chips (Sinabs, Lava, etc.) , GPUs, ASICs (IMX500, Coral, etc.) and FPGAs.

⏳ Previously, I worked on diffusion models, differentiable rendering, vision-language model to reconstruct and de-noise 3D point clouds from images. I also worked on conditional 3D scene generation architectures from scene graphs and designed my own graph transformer from scratch (back in 2021).

❤️ Passions : AI, walking, public speaking.