Jonathan Gornet

Background

About Jonathan Gornet

PhD Candidate in Systems Science & Mathematics at Washington University | Machine Learning Researcher specializing in AI optimization for real-world applications. Created HyperController: Achieved speedup compared to leading hyperparameter optimizers while outperforming baselines in 4 of 5 reinforcement learning benchmarks. Research published in conferences on stochastic control and multi-armed bandits. Industry Experience: Government research at In-Q-Tel Lab41 (CIA VC) and MITRE Corporation developing AI systems for mission-critical applications. Experience applying machine learning to financial modeling, autonomous systems, and scientific computing. Technical Expertise: PyTorch, TensorFlow, JAX | LLM fine-tuning (LoRA)| Stochastic control theory | Production ML deployment Currently completing dissertation (defended) and exploring industry opportunities in AI/ML, quantitative finance, and research roles. Open to connecting with professionals in machine learning, finance, and technology.