연구진 소개 1 페이지 > 연세대학교 데이터사이언스연구소

연구소 소개
Introduction
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연구진 소개

강상욱

Survival Analysis

강승호

Biostatistics

김경원

Sufficient Dimension Reduction, Graphical Models, Functional Data Analysis

김현중

Machine Learning, Data Science, Multivariate Analysis

김현태

Insurance and Financial Statistics, Financial Risk Management, Analysis and Forecasting of Financial Data Using ML & AI

박경덕

Quantum Data Science,Quantum Machine Learning,Quantum Computing

박상언

Nonparametric Statistics

박세영

High-dimensional statistics, Machine learning, Nonparametric statistics

박재우

Spatial Statistics, Bayesian Computing, Disease Modeling

박태영

Data Science, Bayesian Statistics

손지용

Machine Learning, Information Theory

송경우

Reliable Machine Learning, Generative Model, Multimodal Learning

신민석

Neural network for scalable statistical computation; Bayesian high-dimensional model selection; Dynamic online learning for semiconductor-manufacturing data

이기복

Deep Learning, Machine Learning, Computer Vision

이지현

Survival Analysis

이학배

Dimensionality Reduction

임종호

Missing Data Analysis, Data Privacy

전용호 (연구소장)

Data Mining, Machine Learning, Nonparametric Smoothing

정성현

Nonparametric Bayes, Bayesian Asymptotics, Machine Learning

진익훈

Statistical Analysis of Network, Web-log Data / Process Data Analysis, Unstructured Data Analysis, Bayesian Adaptive Clinical Trial
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