고려대학교 정경대학 통계학과

학력

• Ph.D. in Statistics and Machine Learning, 2020, Carnegie Mellon University, PA, USA
  
  M.S. in Machine Learning, 2018, Carnegie Mellon University, PA, USA
  
  M.S. in Statistics, 2016, Stanford University, CA, USA
  
  B.S. in Electrical Engineering and Mathematical Sciences (Double Major), 2012, KAIST, Daejeon, Korea

경력 및 수상

경력

2022 - 2023, Research Associate, Harvard Medical School, MA, USA

2020 - 2022, Postdoctoral Research, Marshall J. Seidman Fellow in Health Care Policy, Harvard Medical School, MA, USA

2019, Data Scientist Intern, Google, NY, USA

2015 - 2016, Predoctoral Research, Stanford Graduate School of Business, CA, USA

2013 - 2014, Quantitative Analyst, Samsung Asset Management, Seoul, Korea


수상

2020 WNAR Best Student Paper Award

2020 IMS Hannan Travel Award

2020 ASA Student Paper Award

2017 CMU Citadel Datathon (Top Prize Winner)

연구논문

• * Selected Papers
  
  Kwangho Kim, Jisu Kim, Edward Kennedy, and Larry Wasserman. “Hierarchical and Density-based Causal Clustering.” Advances in Neural Information Processing Systems 38, 2024.
  
  Kwangho Kim, Bijan A. Niknam, and José R. Zubizarreta. "Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes." Biostatistics, 2024.
  
  Kwangho Kim, and José R. Zubizarreta. "Fair and robust estimation of heterogeneous treatment effects for policy learning." Proceedings of the 40th International Conference on Machine Learning, PMLR, 2023.
  
  Kwangho Kim, Edward Kennedy, and José R Zubizarreta. "Doubly robust counterfactual classification." Advances in Neural Information Processing Systems 35, 2022.
  
  Kwangho Kim, Jisu Kim, Manzil Zaheer, Joon Kim, Frédéric Chazal, and Larry Wasserman. "Pllay: Efficient topological layer based on persistent landscapes." Advances in Neural Information Processing Systems 33, 2020.