I am a graduate student passionate about climate & energy systems and the variety of technical, economic, and environmental factors that play into renewable energy uptake and climate policies. Within MIT's Technology and Policy master's program, I focusing my coursework on data science and statistical analysis techniques, with attention to how advanced data methods like machine learning can be applied to the climate and energy field. My thesis work focuses on the environmental impact of the computing sector: specifically, the ways in which new computing technologies might shift the location of emissions from one part of a device lifecycle (ex. emissions from device use reduced with more energy efficient device designs) to another (ex. there might be more manufacturing steps required to produce the more efficient device).
I expect to graduate in June 2023 and look forward to finding a position that combines my interests in data, climate & energy, and multidimensional policy evaluation/analysis.
In my free time I enjoy birding (& bird photography), running, hiking, and other outdoor activities.