I am currently an assistant professor at the Department of Artificial Intelligence at Korea University, Seoul, Korea. I am very excited and motivated by the promise of revolutionizing domains -- especially healthcare and manufacturing -- where actionable and critical decision-making is the key through machine learning in combination with domain experts.

In particular, my research interest lies in integrating multiple modalities, building individualized models of care via prognostic and causal inference models, discovering scientific knowledge from data, interpreting "black-box" machine learning methods, and applying advanced machine learning methods at scale. 

Before joining Korea University, I was an assistant professor at the Department of Artificial Intelligence, Chung-Ang University. I completed my Ph.D. at the University of California, Los Angeles, Department of Electrical and Computer Engineering, as a member of the van der Schaar Lab led by my advisor Prof. Mihaela van der Schaar. My research focus was on deep learning approaches to address challenges associated with modeling, predicting, and interpreting in time-to-event analysis and time-series analysis and on deep learning approaches for multiple omics data including genomics and transcriptomics.

Prior to my doctoral studies, I completed my B.S. and M.S. in Electrical and Computer Engineering at Korea University in 2011 and 2013, respectively. I then worked as a research staff in the Electronics and Telecommunications Research Institute (ETRI) developing methods for next-generation user-centric wireless communications and being involved in 3GPP RAN1/RAN2 standardization activities.