About Me

I hope to be a machine learning researcher tackling problems related to climate change and social good.

I am a second-year undergraduate at the California Institute of Technology, majoring in computer science and minoring in environmental science. My research advisor is Steven Low. Primarily, my work focuses on AI for mitigating climate change and combatting its effects. In the future, I aspire to work

at the intersection between research and policy, designing and implementing research with a clearly defined impact. I am currently looking for opportunites in research and industry which will allow me to develop the necessary skills to be impactful in this field.


Estimating Solar Potential for Washington, D.C.

Edward Cronin, Ashley Fernando, Jarrett James, Rupa Kurinchi-Vendhan

Through NASA's DEVELOP National Program, we worked with the Langley Research Center (LaRC) and partnered with Washington DC's Department of Energy and Environment (DOEE) to create solar potential maps to inform solar panel installation decisions for the District.



Rupa Kurinchi-Vendhan, Björn Lütjens, Ritwik Gupta, Lucien Werner, Dava Newman, Steven Low

An accepted paper at the NeurIPS CCAI Tackling Climate Change with Machine Learning 2021 Workshop. We modified existing deep learning-based super-resolution models, and applied them to satellite data to increase the resolution of wind speeds and solar irradiance fields for informing short-term, local energy planning. We published machinelearning-ready wind and solar datasets.


Optimizing the Adaptive Charging Network

Rupa Kurinchi-Vendhan, Sunash Sharma, Steven Low

I built upon Netlab's Adaptive Charging Network (framework for electric vehicle charging) to improve accuracy of power-consumption predictions and optimize charging for an individual user. We used optimization theory to parse through battery charging data and schedule energy loads in a vehicle fleet.


Get in touch!

I love meeting new people, and you're no exception. Feel free to email rkurinch@caltech.edu.