Urja Khurana

2020 - Present: PhD Student at Vrije Universiteit Amsterdam
- Generalizability of NLP Experiments
2023 June - September: Visiting Researcher at DILL Lab, University of Southern California
- Worked with Swabha Swayamdipta on crowd-based calibration, paper published at COLM 2024
2019 - 2020: Machine Learning Engineer at Sensity AI
- Developed deep learning algorithms and deployed models for deepfake detection
2016 - 2019: Teaching Assistant Second Year BSc Artificial Intelligence at University of Amsterdam
- Kennissystemen (Knowledge Systems)
- Leren (Machine Learning)
- Leren en Beslissen (Machine Learning Project)
- Natural Language Models & Interfaces (NLP)
- Brein en Cognitie (Brain and Cognition)
- Beeldverwerken (Computer Vision)
- Probability Theory for Machine Learning
- Tweedejaarsproject (Second Year AI Project)
2016 - 2019: Mentor / Tutor Second Year BSc Artificial Intelligence at University of Amsterdam

January - August 2019: Master Thesis on Improving the Generalization and Explainability of Deepfake Detection at 3DUniversum/University of Amsterdam
- Increased detection accuracy in comparison to the state-of-the-art by focusing on explainability and generalized detection.
- Supervised by dr. Sezer Karaoglu
- Grade: 8.0
2017: Bachelor Thesis on Linguistic Features of Fake News Headlines and Statements at University of Amsterdam
- Explored the linguistic features that are able to distinguish between fake and real news headlines and statements
- Supervised by dr. Tejaswini Deoskar
- Grade: 9.0
2017: InStep Summer Internship at Infosys Bangalore
- Worked on AI project on predicting multiple target features (document attributes) for structured documents.
- Supervised by dr. Nidhi Tiwari

January 2024: Co-organizer HumanCLAIM Workshop at Vrije Universiteit Amsterdam
- Workshop on the human perspective on cross-lingual AI models
2024: Attended The 1st ELLIS Winter School on Foundation Models
2021 - 2023: Inclusive AI Board Member at University of Amsterdam
2021 - 2023: Organizer of CLTaLk; seminar series at CLTL
2022: Attended The 12th Lisbon Machine Learning Summer School