Jonathan Mitchell

Jonathan is currently a Machine Learning Engineer on NVIDIA's BioNeMo team, where he develops scalable training algorithms for Transformers in biological applications. He previously worked as a Software Engineer on NVIDIA's Autonomous Vehicle (AV) Perception team. Jonathan completed his PhD in Computer Science at UCLA, focusing on generative modeling and adversarial robustness.
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Posts by Jonathan Mitchell

Simulation / Modeling / Design Jun 16, 2026

How to Optimize Transformer-Based Models for Low-Precision Training

Transformer architectures are the backbone of many modern large language and generative AI models. As these models grow in size, training runs consume more GPU... 9 MIN READ
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Data Science Nov 05, 2025

Scale Biology Transformer Models with PyTorch and NVIDIA BioNeMo Recipes

Training models with billions or trillions of parameters demands advanced parallel computing. Researchers must decide how to combine parallelism strategies,... 7 MIN READ