shaileesjain.github.io

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Hi there! I am a second year CS PhD student at the Huth Lab at UT, Austin. I also collaborate with the amazing people at Google AI Language as a student researcher. The crux of my research lies in jointly interpreting how systems like the human brain and neural NLP models process language. Specifically, can we investigate the representations these models learn, the linguistic phenomenon they encode and the mechanisms they use to combine information? I aim to answer these question by using neural networks to simulate the brain’s response to language and in turn, by using neuroscience to interpret and understand how these artificial networks encode information. I work at the intersection of machine learning, computational neuroscience and NLP to examine the parallels and bridge the gap between biological and artificial language systems.

Before arriving at UT, I did my undergrad at NITK, Surathkal and spent some time with the ML group at Leuphana University, Germany. My Bachelor’s thesis was on discovering cognitive learning patterns through web-user data. I also did a minor thesis with Prof. Sowmya Kamath, focusing on CNNs for visual saliency.

I can most effectively be contacted through email (shailee at cs.utexas.edu). I also tweet sometimes (working on it!). You can find my CV here.

Recent News

October, 2019 - Attending SfN’19 to present our on-going work on compositional semantics in encoding models with transformers.

September, 2019 - We are hosting the Context & Compositionality Workshop at NeurIPS’19 this year with an amazing speaker lineup. I am also continuing my internship work as a student researcher at Google.

August, 2019 - Our new preprint on approximating depth in recurrent neural networks is now out!

June, 2019 - Started an internship at Google AI with Jason Baldridge, Eugene Ie, Li Zhang and Sayali Kulkarni.

October, 2018 – Got a NIPS Travel Award and UT CS Professional Development Award for travel to NIPS’18, Montreal, Canada.

August, 2018 – Our work on contextual encoding models is accepted at NIPS’18 and I officially started my PhD!

May, 2018 – My first grad school preprint on incorporating context into language encoding models is out and under review!

April, 2018 – My bachelor’s thesis work done with Ahcène Boubekki and Prof. Ulf Brefeld is accepted at the Eleventh International Conference on Educational Data Mining, Buffalo, NY.

August, 2017 – Started my Masters at UT CS and research with Prof. Alex Huth.

July, 2017 – Got the Narotam Sekhsaria PG Scholarship, JN Tata Endowment Scholarship and KC Mahindra Scholarship to support my graduate studies.