Research Interests
Quantitative Finance and Financial AI
Applied Machine Learning and Data Science
Biomedical Mathematics and Modeling
Statistics and Stochastic Processes
🔬 Current Research
Sleep Disorder Classification using Machine Learning | Modeling Stochastic Delay in Birth and death processes in biological systems
IBS Biomedical Mathematics Group
South Korea
Dec 2024 – Aug 2025
Ongoing
Supervisor:
Prof. Jae Kyoung Kim
- Designed and implemented full ML workflows from signal preprocessing to model training and result interpretation
- Working on modeling stochastic delay in birth and death processes in complex biological systems
Natural Language Processing and Cultural Computing
Users & Informations Lab
KAIST
Aug 2024 -- Dec 2024
- Developed cultural benchmark datasets for low-resource languages
- Evaluated Large Language Models on language understanding and reasoning tasks
- Accepted into AACL-IJCNLP 2025 Workshop[1]
AI Fairness and Bias Mitigation
Data Strategy Lab
KAIST
Apr 2024 – May 2024
- Conducted comprehensive review of bias mitigation techniques in AI
- Studied fairness metrics and their applications
- Analyzed impact of data bias on model performance
- Focus: Algorithmic fairness, ethical AI
📚 Publications
Publications
1.
BLUCK: A Benchmark Dataset for Bengali Linguistic Understanding and Cultural Knowledge
AACL-IJCNLP 2025 Workshop published
arXiv:2505.21092