New Monograph on Statistically Valid Hyperparameter Selection
I am pleased to announce that the preprint of our monograph, Statistically Valid Hyperparameter Selection: From Tuning to Guarantees, is now available on arXiv. Hyperparameter selection plays a central role in the development of modern machine learnin...
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Starting a New Research Position at Northeastern University London
I am excited to share that I have recently started a new position as a Research Associate at Northeastern University London, working within the Institute for Intelligent Networked Systems (INSI) This new role is supported by a European Research Counci...
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Explaining Self-Driving Cars Ahead of Their London Launch
I recently collaborated with Oriel College, University of Oxford, on a short video created for the college’s social media platforms, where I discuss the technology behind self-driving cars and some of the key questions around their safety and deploymen...
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NeurIPS 2025 Tutorial: From Tuning to Guarantees
Earlier this month at NeurIPS 2025, I had the pleasure of delivering a tutorial titled “From Tuning to Guarantees: Statistically Valid Hyperparameter Selection.” It was a genuinely rewarding experience, and I wanted to share a few reflections here, alo...
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NeurIPS 2025 Tutorial Announcement
I’m excited to share that I will be presenting a 3-hour tutorial at NeurIPS 2025 on how to move from empirical tuning to statistically guaranteed hyperparameter selection. Modern ML pipelines often rely on grid search, random search, or Bayesian optim...
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University of Oxford Three Minute Thesis Competition
I am honored to have competed in the Oxford University finals of the Three Minute Thesis competition and thrilled to have won the runner-up prize! It was a privilege to present my research alongside seven brilliant finalists. An unforgettable experie...
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