Machine Learning and Scientific Computing (MLSC) LAB
Welcome to the Machine Learning and Scientific Computing (MLSC) Lab at SNU!
We are tackling interesting problems in machine learning and scientific computing.
Ongoing research project:
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Scientific machine learning
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Mathematics of machine learning
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Numerical Analysis
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AI for science
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Deep generative models: theory and applications
For prospective students interested in working with me:
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SNU graduate students: I am always open to working with highly motivated students who are deeply passionate about research in machine learning and scientific computing. If you are genuinely driven by curiosity and committed to rigorous, long-term research, feel free to reach out—ideally after reviewing some of our recent publications to ensure your background and goals align with the direction of the group.
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Undergraduate internship opportunities are limited, but highly motivated students who are passionate about research are encouraged to contact me.
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For students outside SNU, please follow the admission procedures outlined on the official university website.
For students requesting a recommendation letter:
As a general policy, I write recommendation letters for no more than three students per year, and for a maximum of ten institutions per student. To be eligible, you must have earned at least an A grade in one of my major courses, and I must be able to comment meaningfully on your academic abilities and potential. Please consider this carefully before making your request.