Interpretable Automated Personalization, Model-agnostic Personalization, etc.
Causal Data Synthesis
Deep Counterfactual Inference, Counterfactual Data Augmentation, etc.
Hobby
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.
Education
Ph.D. Candidate in Data Science (SNU, Advisor: Sanghack Lee)
M.A. in Economics (SNU, Advisor: Soyoung Kim)
B.S. Major in Business Administration, minor in Financial Economics (SNU, Advisor: Wonwoo Park)
Honors and Awards
Dean’s List (Aug 2016)
Merit-based scholarship (Aug 2012, Feb 2015, Feb 2016, Jan 2017)
Skills
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
Misc.
A few years ago, I also used R and am well aware of its contributions to valuable and important research across different fields. However, in my primary area of study, R is not commonly utilized, leading to my current unfamiliarity with the language. Consequently, I would kindly request to refrain from directing R-related questions to me.