- 🌐 Multilingual: 🇺🇸 English (native) | 🇯🇵 Japanese (C1/C2) | 🇩🇪 German (B1)
- 🎓 Computational Linguistics (M.A.) (expected 9/2025)
- 💡 Research Areas of interest:
- Linguistic Complexity
- ICALL (Intelligent Computer-Assisted Language Learning)
- Text Classification (sentiment, affect, learner error analysis)
- Affordances & applications of Large Language Models
- Educational Technology & Task-Based Learning
Modeling L2 Japanese Proficiency with Linguistic Complexity Measures and Criterial Features
- Investigated how linguistic complexity measures and criterial features can model Japanese as a Second Language (L2) proficiency using the I-JAS corpus.
- Applied an Explainable Boosting Machine (EBM) for interpretable classification
- KReLax: Multilingual Emotion Detection(SemEval-2025)
Co-authored a published paper proposing an ensemble-based approach to multilingual emotion detection and addressing data imbalance. ACL Anthology (2025) - ARES (AI-Assisted Extension for Grammar Exercises)
Enhancing grammar learning with AI-driven exercise generation aligned with pedagogical principles. - LLM Evaluation for Task-Based Language Learning Chatbots
Analyzed the integration of LLMs into a rule-based chatbot to support smoother learner interactions within a language learning app. - Lingustic benchmark performance: Testing Effects of Reinforcement Learning
Explored how reinforcement learning fine-tuning (RLHF) shifts LLM performance on syntax, semantics, and pragmatics benchmarks compared to base models.