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Hello there 👋

I am an ML engineer at Logitech. Previously, I was working in the research team at the Swiss Data Science Center, doing a PhD in computational statistics at ETHZ, and studying at TU Munich.

  • 📖 Interests: deep learning, reinforcement learning, high-performance computing (Python/C++/CUDA)
  • 👋 Contact: simd23 @ pm me

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  1. Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

    Python 2.7k 287

  2. The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic model…

    C++ 828 209

  3. Simulation-based inference in JAX

    Python 52 6

  4. Surjection layers for density estimation with normalizing flows

    Python 5 3