Priya Donti’s childhood experiences in India and early education exposed her to global inequities and climate change challenges, motivating her to pursue solutions at the intersection of AI and energy systems. She studied computer science and public policy to develop scalable machine learning algorithms that optimize power grids heavily reliant on renewables. Donti co-founded Climate Change AI to connect experts across disciplines for impactful climate solutions.
At MIT since 2023, Donti integrates deep learning with the physical constraints of power systems to advance forecasting and control techniques. Her work includes developing algorithms that optimize power grid operations much faster and cheaper than previous methods, with promising interest from grid operators. She also creates synthetic datasets to overcome data privacy barriers and drive progress in power system research.
Donti has received multiple fellowships and innovation awards for her contributions and will co-teach a class on AI for Climate Action. She emphasizes the critical collaboration between technology, society, and policy for long-term environmental benefits, highlighting MIT’s ecosystem that values societal impact alongside academic metrics.
👉 Pročitaj original: MIT AI News
