Data-driven
Management Engineering lab
Ulsan National Institute of Science and Technology
UNIST DME 연구실은 열정 넘치는 석·박사 과정 대학원생, 포닥연구원, 데이터사이언티스트, 학사과정 연구인턴을 모집합니다.
연구실에 관심 있으신 분은 이 페이지에서 상세한 정보를 확인하시거나 신승렬 교수에게 이메일(srshin [at] unist.ac.kr)로 연락 바랍니다.
We are currently seeking highly motivated students and researchers to work together.
If you are interested in joining our group as an undergraduate researcher, master's or PhD student, postdoc, or data scientist, check out this for more details or contact Seungryul Ryan Shin directly via email (srshin [at] unist.ac.kr).
The Data-driven Management Engineering Lab stands out with its unique approach to exploring key questions around science and technology at the intersection of Economics of Innovation, Technology Management, and Data Science. We specialize in developing and applying big data analytic algorithms and causal inference techniques to uncover causal links between key factors within the innovation ecosystem.
Our research topics center on:
Innovation Search Strategy
Knowledge Diffusion and Mobility of Human Capital
Commercialization of Science and Technology
Our empirical approaches mainly focus on:
Big Data Analysis and Causal Inference Statistical Modeling
Algorithm Development Based on Machine Learning/ Deep Learning/ Artificial Intelligence