About me
Tristan's background is primarily in computer science and mathematics, and which let him to graduate with a PhD in Complexity Science at the University of Warwick, where he worked with large computational neuroscience models of spiking neural networks using simulators written in C++ and MPI.
After moving to the software industry for a few years, Tristan moved his focus back to neural networks, ANNs this time, and PyTorch has been his primary ML framework since about 2017. Tristan has worked in the field of ASIC software/hardware co-design since AI/ML specific ASICs have really become their own category, being on the team at Intel Nervana designing a hardware product for training deep learning models.
At d-Matrix, Tristan is excited to be developing technology that will broaden the reach of AI/ML. His belief is that power efficient hardware is one of the key components of democratic AI, with open source software, and open weight models being the other key parts. Now his research interests in all aspects of the modern machine learning stack, especially now at the moment the frontiers of numerical quantization. Engineering wise, Tristan is interested in the PyTorch 2.0 compilation process, which he sees as a major step forward for the framework.
Tristan currently live in Chattanooga TN with his wife, three kids, and a big black Labrador puppy. Outside of work, he is trying to become proficient at wood-working and traditional darkroom photography through self-teaching and many mistakes.