Kelly J
- Research Program Mentor
PhD candidate at Northwestern University
Expertise
Computer Science
Bio
Hello! I am a computer science PhD student at Northwestern University. My research is mainly focused on equipping the next generation of machine learning models with the ability to express nuance and uncertainty. Prior to starting my PhD, I worked as a software engineer at a scientific instruments company. In my free time, I enjoy hiking, swimming, photography, and taking care of my two cats.Project ideas
Implement a machine learning pipeline in a Jupyter notebook
Jupyter notebooks are an increasingly popular format for developing and sharing data science projects using a combination of rich multimedia and runnable code. In this project, you will import a dataset of your choice, prepare the data for analysis, and train a predictive model to make inferences in your chosen problem domain.
Prompt engineering case study
Prompt engineering is a technique for improving the output of language models such as ChatGPT by rewriting the input query. In this project, you will implement a simple prompt engineering system by using a language model to expand short inputs into structured, detailed ones. Afterwards, you will perform a qualitative analysis of how faithful the rewritten prompts are to the originals, and a comparison of the output quality of naive vs engineered prompts.