CV

Teaching

Projects

Publications

Awards

Outreach

I am a post-doctoral research associate at MIT Energy Initiative, and I have been fortunate to be supervised and funded by Professor Thomas Magnanti

Research interests

The reliability of power systems under the impact of increasing renewable penetration and extreme weather conditions is a rising concern globally. My research interests include machine learning probabilistic forecasting, data-driven control and optimisation for energy systems considering uncertainty. My works aim to find appealing solutions in both system design and short-term operations. I have specific research interests in:

• Machine learning probabilistic forecasting.

• Joint chance-constrained optimization.

• Distributionally robust modelling.

• Optimal power flow analysis.

• Microgrid design and control under extreme conditions.