CV | Teaching | Projects |Publications | Awards| Outreach
I am a post-doctoral research associate at MIT Energy Initiative. I have been fortunate to be supervised by Professor Thomas Magnanti and work with research scientist Pablo Duenas-Martinez.
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.