Research
This page explains the long-term research projects I have done during my time at Agnes Scott. I have done more research for the public health sphere, but I have also done experimental research in the different scientific fields.
The Effects of Nicotine on Crayfish Escape Behavior
August 2024-December 2024
A Cellular Neuroscience experimental research project conducted by me and two other students in my cellular neuroscience lab. We tested how adding nicotine to the water of the crayfish affected their tailflip escape reflex after sensing danger. Results found that the crayfish in the nicotine group responded less when their medial neuron was stimulated, but similar responses to the control group when their lateral neuron was stimulated.
The Use of AI in Neglected Tropical Diseases
June 2025-August 2025
This was a literature review research I did during my internship at The Carter Center. I researched how new advances in artificial intelligence were being used in treating neglected tropical diseases (NTDs). I found that AI could be used as a helpful tool for drug discovery and diagnosis in places that have limited resources or are difficult to access, and can help with diseases that need experts for diagnosis. I also found that there are a lot of risks and considerations to keep in mind when implementing AI into an intervention, as its accuracy may vary depending on how consistent the information it is given is.
Link to Paper:
The Use of AI in Global Mental Health
June 2025-August 2025
This was a second literature review research I did during my internship at The Carter Center. I researched how artificial intelligence could be used in training mental health providers (specifically non-experts), helping with clinical decision-making, and assessing the competency of the providers. I found that AI could be helpful in areas that have limited resources and time for training providers in mental health care, and could provide second opinions for those making decisions. AI could also help provide instant feedback for providers without having to have supervisors sit in on meetings. There are a lot of concerns, though, for AI in mental health. There are concerns of biased information leaking in and private information leaking out. It also needs to be considered that AI cannot comprehend human nuances and understand cultural differences in mental health. I collaborated with the Mental Health Program at The Carter Center for this paper.
Link to Paper: