Update _posts/2023-07-11-nvidia-is-a-new-sponsor.md

Co-authored-by: Tim Head <[email protected]>

_posts/2023-07-11-nvidia-is-a-new-sponsor.md

@@ -39,7 +39,7 @@ At NVIDIA, we believe that investing in open-source projects like scikit-learn i
 
 Our partnership with the scikit-learn consortium will also enable us to collaborate more closely with the scikit-learn community, and provide us with insights into how we can improve NVIDIA’s [RAPIDS open-source libraries](https://developer.nvidia.com/rapids) to better serve their needs. We are committed to working with the foundation to ensure that scikit-learn remains a powerful and easy to use machine learning library that meets the needs of data science practitioners in science and industry.
 
-NVIDIA’s commitment to scikit-learn goes beyond financial support. We have hired [Tim Head](), an experienced open-source maintainer, to work full-time on the project. This is not Tim’s first open-source rodeo. He has previously contributed to several high-profile open-source projects, including Project Jupyter. His focus will be reviewing pull requests and coordinating the development of large features. Tim was recently elected as a core maintainer of scikit-learn. His expertise and experience will be invaluable in ensuring the continued growth and success of the project.
+NVIDIA’s commitment to scikit-learn goes beyond financial support. We have hired [Tim Head](https://betatim.github.io), an experienced open-source maintainer, to work full-time on the project. This is not Tim’s first open-source rodeo. He has previously contributed to several high-profile open-source projects, including Project Jupyter. His focus will be reviewing pull requests and coordinating the development of large features. Tim was recently elected as a core maintainer of scikit-learn. His expertise and experience will be invaluable in ensuring the continued growth and success of the project.
 
 In summary, NVIDIA’s partnership with the scikit-learn consortium is an important step in our ongoing commitment to support the development and growth of open-source software in the machine learning community. We are excited to work with the foundation and the community of contributors to help advance the capabilities of scikit-learn and accelerate the development of machine learning applications.