Currently, I am a Software Engineering Intern at Supedio GmbH. I have previously interned with the research team at DRDO, Govt. of India, where I worked on an Image Segmentation task in a simulated Gazebo environment. I spent a summer at Chennai Mathematical Institute as a Mathematical Finance Summer Scholar, working on sliding-window approaches. I have also interned with the Data Science team at Cronycle, UK, building a production-ready RSS aggregating pipeline.
I’m mostly interested in working in Deep Learning, NLP and it’s applications in Computational Social Science. Presently, I am working on Suicide Risk Assessment on Social Media, Keyphrase Extraction, and Extracting financial data from digital invoices.
|Mar 16, 2021||First Author research paper accepted at AAAI ICWSM 2021! Towards Emotion- and Time-Aware Classification of Tweets to Assist Human Moderation for Suicide Prevention.|
|Mar 11, 2021||First Author long paper accepted at NAACL 2021! Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning. (Core A)|
|Jan 29, 2021||Research Paper accepted at JAMIA: Journal of the American Medical Informatics Association. Robust Suicide Risk Assessment on Social Media via Deep Adversarial Learning (IF: 4.112)|
|Jan 11, 2021||First Author long paper accepted at EACL 2021! PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media. (Core A)|
|Jan 4, 2021||Joined Supedio GmbH as Software Engineering Intern|
selected publications (all)
- Towards Emotion- and Time-Aware Classification of Tweets to Assist Human Moderation for Suicide PreventionIn Proceedings of the International AAAI Conference on Web and Social Media 2021
- Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic LearningIn Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) 2021
- PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social MediaIn Proceedings of 16th Conference of the European Chapter of the Association for Computational Linguistics 2021