• Developed a script that monitors all California CCAs and notifies the team when relevant renewable energy RFPs are released. This both saves time reviewing these sites and maximizes the time we can spend developing our RFPs.• Monitor Microgrid Controller systems and perform ad hoc analysis on solar and battery data.

• Provided human feedback to AI chatbots learning to help programmers and analysts with their tasks.• Guided AI chatbots in the development of Web Apps using Django and JavaScript.• Gave feedback on the AI's analysis and visualization of toy datasets.

• Estimated missed savings for Castello di Amorosa [winery], a client of 127 Energy, during an outage of their recently installed solar and battery system.• Developed expected behavior of the solar and battery system from a large data set at multiple time scales while taking into account multiple natural factors.• Presented the findings internally, utilizing visualization techniques to make the work digestible for a non technical audience, and prepared a written description of the analysis for the client.• Investigated Artificial Intelligence tools that could aid 127 Energy and presented my findings to the heads of the company.• Estimations provided strong evidence-based justification for the recently installed solar and battery system.

• Aided a postdoctoral researcher in the Shamoo Lab at Rice University with protein crystallization experiments.• Learned about the process of imaging unknown proteins, starting from the DNA that codes for the protein to the programs that decipher the data from x-ray crystallography experiments.• Attended the SSRL/LCLS Users Conference the following September to participate in a poster presentation.