I’m a graduate student at the University of Southern California studying Computer Science as a Fulbright Scholar, where I work with Prof. Nanyun Peng and Prof. Emilio Ferrara at the USC Information Sciences Institute. My research interests are natural language processing, machine learning, and computational social science. I also serve as President of GRIDS, USC’s student data science community.

Previously, I was a research assistant at the Center for Language Engineering with Prof. Sarmad Hussain, where I worked on improving language processing of Urdu, Pakistan’s national language, in order to unlock information for the masses and bridge the digital divide. I received my Bachelor’s degree in Computer Science from the University of Engineering and Technology, Pakistan’s oldest engineering school, in 2016. My senior thesis was on the use of deep learning techniques for facial keypoint detection, and my advisor was Prof. Haroon Babri.


9/19 I will be presenting two posters at the Southern California NLP Symposium, SoCalNLP.

1/19 I am the new President of USC’s student data science community, GRIDS.

8/18 I will be joining USC in Fall 2018 as a Fulbright Scholar.

12/17 My paper on Urdu Word Embeddings was published at LREC 2018. PDF.

12/17 I gave a talk and tutorial on deep learning with Python at PyCon Pakistan 2017. Slides.

5/17 I gave a talk on NLP for low-resource languages at the University of San Francisco’s Seminar Series in Analytics. Link.

4/17 My work on Urdu was mentioned in a Forbes story on the impact of democratizing artificial intelligence on the developing world. Link.

10/16 I received the first international fellowship from fast.ai to join their new deep learning course. Link.

12/15 I was featured in Andrew Ng’s #LearnML challenge on the Coursera Blog. Link.


Urdu Word Embeddings, Samar Haider, International Language Resources and Evaluation Conference (LREC), 2018.