Bio

An AI scientist/researcher with a proven record of successfully applying AI in 4 major industry projects. From deriving statistical models of real-world data to developing data-driven control via deep reinforcement learning, has facilitated the integration of sustainable energy production/consumption in the evolving power grid. Tools: MATLAB, Mosek, Python, Scikit-learn, Tensorflow, Keras, R, fast.ai, Colab, Could computing I have a strong passion for both “discovery by research” and “knowledge transfer by teaching”. I believe the opportunity lies within every challenge and I try to make the best out of them! I am surely not a person for routine work. I think the future is interdisciplinary and I am not afraid of stepping into new research fields because that is where the excitement of learning lies.