diff --git a/README.md b/README.md
index 88a5c41..3a90f6d 100644
--- a/README.md
+++ b/README.md
@@ -1,8 +1,29 @@
-# homework0
-Please write about a deep learning expert in your README.md.
-he/she can be a professor (e.g., Yann LeCun), a Ph.D student (e.g., Joseph Chet Redmon), a hacker (e.g., Flood Sung), a researcher (e.g., John Schulman), an enginner (e.g., Soumith Chintala), an entrepreneur (e.g., Matthew Zeiler), etc.
-To avoid writing the same person, please report the person's name in  
-https://docs.google.com/spreadsheets/d/153XruMO7DPONzBTkxh8ZoYSto1E_2zO021vs0prWZ_Q/edit?usp=sharing
-First come first serve!
--------
-Write here
+# Sebastian Ruder
+
+[[website]](http://ruder.io/#) [[twitter]](https://twitter.com/seb_ruder) [[github]](https://github.com/sebastianruder)
+
+
+## About
+
+Sebastian Ruder is a 3rd year PhD Student in **Natural Language Processing** and **Deep Learning** at the [Insight Research Centre for Data Analytics](https://www.insight-centre.org/) and a research scientist at Dublin-based text analytics startup [AYLIEN](https://aylien.com/). He is interested in transfer and multi-task learning for NLP and democratising machine learning and AI. 
+He has studied [Computational Linguistics](https://en.wikipedia.org/wiki/Computational_linguistics) at the [University of Heidelberg, Germany](http://www.uni-heidelberg.de/index_e.html) and at [Trinity College, Dublin](https://www.tcd.ie/). During his studies, he has worked with [Microsoft](https://www.microsoft.com/zh-tw/), [IBM's Extreme Blue](http://www-01.ibm.com/employment/us/extremeblue/), [Google Summer of Code](https://developers.google.com/open-source/gsoc/), and [SAP](https://www.sap.com/index.html), among others. 
+
+
+## Publications
+
+* **Sebastian Ruder**, Barbara Plank (2017). [Learning to select data for transfer learning with Bayesian Optimization](http://www.aclweb.org/anthology/D17-1038). In *Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*, pages 372–382, Copenhagen, Denmark. [Code](https://github.com/sebastianruder/learn-to-select-data), [poster](https://drive.google.com/file/d/0B3emjZ5O5vDtLVhweUsyQWg1YUU/view?usp=sharing)
+
+* **Sebastian Ruder**, Parsa Ghaffari, John G. Breslin (2016). [A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis](http://www.aclweb.org/anthology/D/D16/D16-1103.pdf). In *Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*, pages 999–1005, Austin, Texas, US. [Poster](https://drive.google.com/file/d/0B3emjZ5O5vDtWlBvcWdsUmpKVnc/view?usp=sharing)
+
+* **Sebastian Ruder** (2016). [An overview of gradient descent optimization algorithms](https://arxiv.org/abs/1609.04747). arXiv preprint arXiv:1609.04747.
+
+
+## Blogs
+
+The link of his blog is [here](http://ruder.io/index.html#open). He has blogged about Machine Learning, Deep Learning, and NLP. 
+
+## Newsletter
+
+He has written the newsletter for NLP lately. You can subscribe from [this link](http://newsletter.ruder.io/). The newsletter will show the newest slides, resources, blog posts, paper, codes, datasets, conference, and even industry insights about NLP. I've subscribed it and it's really helpful for learning new things about NLP.
+
+