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Resume (English only)
Academic Achievements
Published several papers on topics like machine learning fairness and learning of linear dynamical systems, for example, 'An adversarially robust data-market for spatial, crowd-sourced data' (Distributed Ledger Technologies, 2024) and 'Learning of linear dynamical systems as a non-commutative polynomial optimization problem' (IEEE Transactions on Automatic Control, 2023).
Research Experience
Started a postdoc with Prof. Shie Mannor since November 2024. During his Ph.D., he worked on projects such as Operator-Valued Polynomial Optimization to System Identification and Fair Forecasting (February 2020 - February 2023).
Education
Ph.D. from Imperial College London, supervised by Dr. Jakub Mareček and Prof. Robert Shorten; M.S. in Operational Research from the University of Edinburgh; B.E. in Insurance from Hunan University.
Background
Research interests include optimization, combinatorial optimization, optimal transport, semidefinite programming, stochastic processes (Gaussian process, Markov chain), and machine learning fairness. Currently working as a postdoc at the Department of Electrical Engineering, Technion, Israel, focusing on optimization, stochastic processes, and meta-learning.