- Current Position: Machine Learning Applied Scientist at Amazon EU headquarters
- Work Focus: Working on information retrieval and search algorithms
- Teaching Experience: Teaching Assistant for the graduate course 'Pattern Recognition and Machine Learning' at KTH EECS from 2017 to 2020
Education
- Degree: Ph.D.
- University: KTH Royal Institute of Technology, Department of Intelligent Systems
- Time: 2017-2020
- Major: Practical Bayesian methods
- Advisor: Not mentioned
Background
- Research Interests: Information retrieval, search and match; Probabilistic graphical models, Bayesian inference; Machine learning, transfer learning, optimization; Stochastic and complex networks.
- Professional Field: Algorithm & model development and their applications.