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	                  Current Research Topics
          
	- 
		Kernel methods and Gaussian processes in machine learning, statistics and numerical computation
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		Machine learning for enhancing the power of computer simulation  
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		Applications to real-world problems involving computer simulation models
Selected Publications
            
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		2019 - Convergence Guarantees for Adaptive Bayesian Quadrature Methods
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		2019 - Convergence Analysis of Deterministic Kernel-based Quadrature Rules in Misspecified Settings
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		2018 - Kernel Recursive ABC: Point Estimation with Intractable Likelihood