Vik Shirvaikar
AI/ML Engineer
PhD, Statistics and Machine Learning, University of Oxford
Bachelor's, Math and Economics, University of Texas at Austin
Confusion Matrix
The internet's only sports analytics blog
Industry R&D
I am currently the Foundational AI/ML Engineer at Gyre Energy, an early-stage startup developing dynamic control systems to optimize energy efficiency for cooling-intensive infrastructure. My work focuses on designing physics-informed digital twins to refine and validate automation strategies for real-world operations. Learn more about our mission.
Selected Papers
My doctoral research focused on Bayesian prediction, causal inference, and model uncertainty, with applications to healthcare, public policy, and large language model (LLM) evaluation.
- As lead author
- Prediction-powered machine learning for model selection and uncertainty
- Targeting relative risk heterogeneity with causal forests
- Rethinking recidivism through a causal lens
- As contributing author
- A decision-theoretic framework for uncertainty quantification in epidemiology
- Do Bayesian neural networks actually behave like Bayesian models?
- A critical review of causal reasoning benchmarks for large language models
See below, or download the file.