January 23, 2024
Did you catch Fabian's presentation at SINTEF? If you missed out, he'll be doing it again in Oslo, Norway on the 15th of February!
By popular request, we're publishing the slides here, and will soon have video to go with it. Make sure to subscribe to our YouTube channel to get the alert!
If you enjoyed reading this blog post, download Mojo now. Join our awesome community on Discord and share your Mojo journey with us on social media.
Fabian Tschopp
AI Framework Engineer
Fabian is adept at engineering AI infrastructure that enables AI for everyone since the early days of machine learning frameworks. Fabian designed the official OpenCL version of Caffe, while studying computer science and neural systems at ETH Zürich, working together with AMD and Intel. He joins Modular after most recently working on PyTorch, ONNX and PopART for Graphcore’s IPU AI accelerator hardware. Originally from Switzerland, Fabian now resides in Norway, where he enjoys spending time with his fiancée and daughter. When away from the keyboard, Fabian can be found rowing during summer and cross country skiing during winter.
Tatiana Shpeisman
Mojo Lead
Leader in compilers, programming models, and AI systems. Before joining Modular, Tatiana led CPU and GPU compiler infrastructure for Google ML, co-founded MLIR, and was a Principal Engineer and Director of Programming Systems Research at Intel Labs. Tatiana has published ~40 research papers, holds ~50 US and international patents, and has served on numerous research conference programming committees, including being Co-Chair of CGO 2022.
Jeff Niu
AI Compiler Engineer
Compiler Engineer, MLIR Developer, and former Robotics Hacker. Jeff studied Mechatronics Engineering at the University of Waterloo where he explored his passion for Robotics before falling in love with MLIR and Compilers while at Google, where he worked making TensorFlow faster and better for everyone. Jeff is now developing MLIR-based compilers at Modular to make AI better for the World.
Jack Clayton
AI Developer Advocate
Jack started his career optimizing autonomous truck software for leading mining companies, including BHP and Caterpillar. Most recently he was designing computer vision software, putting AI inference pipelines into production for IDVerse. He is enormously passionate about the developer community, having been a Rust, Go, Python and C++ developer for over a decade. Jack enjoys making complicated topics simple and fun to learn, and he’s dedicated to teaching the world about Mojo 🔥.
