Parker Seegmiller
Innovation Fellow, PhD Candidate @ Dartmouth CS | Applied Science Intern @ Amazon
Dartmouth CS
Amazon
Hi! I’m Parker. I’m a third year PhD student in the Persist Lab at the Dartmouth College Department of Computer Science and an Innovation Program Fellow in the Dartmouth PhD Innovation Program. I’m also an incoming Applied Science Intern at Amazon.
My research so far has been at the intersection of deep learning, natural language processing, and statistics. I am particularly interested in in-context learning, structured information extraction, and statistical tools for evaluating and guiding large language models.
In addition to my research interests, I have a strong history in data science, sports (basketball/tennis/football) analytics, and teaching. I also love cats, I believe video games are good for the soul, and I eat one full kiwi (with skin!) every day.
- NLP
- Statistics
- ML
- Sports Analytics
- Business Management
- Skyrim
PhD in Computer Science, 2021-
Dartmouth College
BSc in Statistics, 2017-2021
Brigham Young University
Publications
Experience
- Incoming
- Research: language model evaluation, text embedding distributions, semantic information processing
- Teaching: machine learning, discrete math, android programming
- Personally developed machine learning model for predicting healthcare provider abusive upcoding on inpatient DRG claims, projected to save up to $1,000,000 each month via audit recommendations
- Presented original research for VP of Aetna, preparing web application for live model prediction
- Engineered 100+ features for abusive upcoding model
- Research Assistant: tennis analytics, marketing, url embeddings
- Teaching Assistant: probability, data science, hypothesis testing, linear regression