[{"content":"This is the first post on the site.\nIt is here mostly to prove the full flow works:\nMarkdown content Hugo build GitHub Pages deployment Delete it, rewrite it, or use it as a template for future posts.\n","permalink":"https://kovacoj.github.io/posts/welcome/","summary":"\u003cp\u003eThis is the first post on the site.\u003c/p\u003e\n\u003cp\u003eIt is here mostly to prove the full flow works:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eMarkdown content\u003c/li\u003e\n\u003cli\u003eHugo build\u003c/li\u003e\n\u003cli\u003eGitHub Pages deployment\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eDelete it, rewrite it, or use it as a template for future posts.\u003c/p\u003e","title":"Welcome"},{"content":"My research interests lie in numerical mathematics and computational methods for large-scale machine learning and scientific computing.\nI am particularly interested in randomized algorithms and mixed-precision arithmetic, especially where they can improve performance, stability, and scalability of modern machine learning workflows.\nMore broadly, I am interested in the algorithms and numerical methods that make ML systems work efficiently at scale, rather than treating models as black boxes.\n","permalink":"https://kovacoj.github.io/research/","summary":"\u003cp\u003eMy research interests lie in numerical mathematics and computational methods for large-scale machine learning and scientific computing.\u003c/p\u003e\n\u003cp\u003eI am particularly interested in randomized algorithms and mixed-precision arithmetic, especially where they can improve performance, stability, and scalability of modern machine learning workflows.\u003c/p\u003e\n\u003cp\u003eMore broadly, I am interested in the algorithms and numerical methods that make ML systems work efficiently at scale, rather than treating models as black boxes.\u003c/p\u003e","title":"Research"},{"content":"I hold a Bachelor\u0026rsquo;s degree in Physics and am currently pursuing a Master\u0026rsquo;s in Mathematical Modelling with a focus on numerical mathematics. My interests lie at the intersection of machine learning, data science, and numerical computation, particularly in understanding the mathematical and algorithmic foundations behind modern ML systems.\nRather than treating machine learning models as black boxes, I am interested in the algorithms and numerical methods that make them work efficiently at scale. My work and studies focus on the computational aspects of ML systems and the design of efficient algorithms for large-scale problems.\nIn numerical mathematics, I am particularly interested in randomized algorithms and mixed-precision arithmetic, especially in contexts where they can improve performance, stability, and scalability of modern machine learning and scientific computing workflows.\n","permalink":"https://kovacoj.github.io/about/","summary":"\u003cp\u003eI hold a Bachelor\u0026rsquo;s degree in Physics and am currently pursuing a Master\u0026rsquo;s in Mathematical Modelling with a focus on numerical mathematics. My interests lie at the intersection of machine learning, data science, and numerical computation, particularly in understanding the mathematical and algorithmic foundations behind modern ML systems.\u003c/p\u003e\n\u003cp\u003eRather than treating machine learning models as black boxes, I am interested in the algorithms and numerical methods that make them work efficiently at scale. My work and studies focus on the computational aspects of ML systems and the design of efficient algorithms for large-scale problems.\u003c/p\u003e","title":"About"}]