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About me |
- Developing methods that integrate causality, interpretability, and robustness into machine learning models used in safety-critical domains.
- Estimating causal effects across diverse time settings and data types without assuming identical treatment effects.
- Applying counterfactual inference techniques (e.g., explanations, image editing, EHR synthesis) to high-dimensional, multi-modal data.
- Watching videos on Disney+ (e.g., Marvel Studios' animated series "What if...?")
- Cooking dishes from memorable places I've visited in the past, such as Sukiyaki from Japan and traditional Carbonara from Italy.
- Ph.D. Candidate in Data Science (SNU, Advisor: Sanghack Lee)
- M.A. in Economics (SNU, Advisor: Soyoung Kim)
- B.S. in Business Administration, minor in Financial Economics (SNU, Advisor: Wonwoo Park)
- Dean's List (Aug 2016)
- Merit-based scholarship (Aug 2012, Feb 2015, Feb 2016, Jan 2017)
- Programming languages: Python, C/C++, Bash, Julia, R, Matlab, etc.
- ML/DL frameworks: Pytorch, Tensorflow, Scikit-learn, Catboost, LightGBM, etc.
- CV/NLP libraries: Transformers, OpenCV, Fairseq, Gensim, NLTK, etc.
- Statistical modeling libraries: Statsmodels, Pyro, SciPy, etc.
- Cloud platforms: AWS, GCP (Google Cloud Platform), etc.
- Languages: Korean, English