I am Phd student in physics-based deep learning in the group ofProf. Thuereyat Technical University of Munich, funded by theMunich Center of Machine Learning (MCML).My interests are differentiable numerical simulators, machine learning, automatic differentiation, and optimization theory.
👉 Check outmy website.
📺 On my YouTube channel, I create in-depth explanatory videos onMachine Learning & Simulation.
🧑💻 I love coding inPython,JuliaandC++.Some technologies I like to use:
JAX • Scikit-Learn • TensorFlow (Probability) • Streamlit • Flask • NumPy/SciPy/Matplotlib • Dask • The C++ Standard Library • The Eigen Linear Algebra • Library in C++ • OpenFoam • OpenMP • MPI
📚 A list of my publications:
- My Bachelor Thesis
- Combination of Stress Sensitivities and the Heuristic Based Topology Optimization with Integrated Casting Simulation in LEOPARD|topo (conference paper)
- Parallel FVM Shallow Water Equations Solver in Julia (Master studies seminar paper)
- Variational Auto-Encoder with a VAMP-Prior [re-implementation and discussion] (Master studies project paper)
👉 Follow me onTwitterorLinkedIn.
💬 My favorite quote: "The best time to plant a tree was 20 years ago. The second best time is now."
💵 These are organizations I donate to yearly: