Parker Seegmiller
Innovation Fellow, PhD Candidate @ Dartmouth CS | Applied Science Intern @ Amazon
Dartmouth CS
Amazon
I am a fifth 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 recently completed an Applied Science Internship at Amazon, working on the Amazon Nova model family with the Artifical General Intelligence team, and I’ll be returning for another internship later this year.
My research at Dartmouth and Amazon has been focused in LLM post-training data synthesis, clinical NLP applications, and statistical tools for LLM evaluations.
In addition to my research interests, I have a strong history in data science, sports (basketball/tennis/football) analytics, and teaching.
- NLP
- Statistics
- ML/DL
- Sports Analytics
- Business Management
PhD in Computer Science, 2021-
Dartmouth College
BSc in Statistics, 2017-2021
Brigham Young University
Experience
- Research: Data synthesis for LLM math reasoning
- Research: language model evaluation, text embedding distributions, semantic information processing
- Teaching: machine learning, discrete math, android programming
- Mentees: Garrett Johnston, Gabriel Asher, Ganza Belise Aloysie Isingizwe, Rohan Ray
- Research: Abusive provider upcoding machine learning audit recommandation system
- Presented original research for VP of Aetna
- Research: tennis analytics, marketing, url embeddings
- Teaching: probability, data science, hypothesis testing, linear regression