I work with the Arctic team to build a dataset that maps permafrost retrogressive thaw slumps. I am also training and fine-tuning a Segment Anything Model to improve the accuracy with which it can identify thaw slump landforms.
In my previous research, I have used AI and machine learning to analyze and predict photovoltaic material characteristics and to train neural-network models that classify weather images. I have also done independent research on Arctic permafrost thaw, which was recognized with an award from the International Science and Engineering Fair. In college, I plan to major in computer science and pursue an environmental science minor. I have a deep interest in using AI and computer science to solve real-world environmental problems.
I grew up in Texas. In my free time, I enjoy singing, playing guitar, and playing pickleball and tennis.
