Hasso-Plattner-Institut
Prof. Dr. Christoph Lippert
 

Hani Park

Research Assistant, PhD Candidate

Research Interests & Projects

  • Statistical analysis of high-dimensional or structured data (e.g., image, graph or time-series data)
  • Uncertainty quantification for deep learning (e.g., probabilistic modeling, Dirichlet modeling)
  • Learning paradigms that reduce labeling effort (e.g., active learning, semi-supervised learning, distantly-supervised learning)
  • Sequential decision-making (e.g., reinforcement learning, inverse reinforcement learning)

Teaching Assistant Activities

  • Statistical Data Analysis WS21/22, Institute of Mathematics, University of Potsdam
    • 360 working hours as a master student: 3 hours/week tutorials for 13 weeks, feedback on exercises
  • Bayesian Inference and Data Assimilation SS21, Institute of Mathematics, University of Potsdam
    • 240 working hours as a master student: feedback on exercises, support for online tutorials