Update README

README.md

@@ -48,7 +48,7 @@ print(topicModel)
         - [ ] Linux via PythonKit?
 
 - *Topic Modelling*
-    - [ ] Linear Algebra (e.g., [Nifty](https://github.com/philipce/nifty), [Surge](https://github.com/Jounce/Surge))
+    - [X] Linear Algebra (e.g., [Nifty](https://github.com/philipce/nifty), [Surge](https://github.com/Jounce/Surge))
     - [ ] Dimensionality Reduction (e.g., [t-SNE](https://github.com/emannuelOC/swift-tsne), [UMAP](https://github.com/LTLA/umappp))
     - [ ] Clustering (e.g., K-Means, HDBSCAN)
     - [ ] Topic models
@@ -62,6 +62,7 @@ This project is developed by a team of researchers from the [Human-Computer Inte
  - Peter Li
  - Adrian Davila
  - Henry Tian
+ - Mingchung Xia
 
 If you would like to contribute to the project, [contact Prof. Wallace](mailto:james.wallace@uwaterloo.ca) with "SwiftNLP" in the subject line, and mention one or more of the roadmap items above that you would like to work on.