Parker Seegmiller

Parker Seegmiller

Computer Science PhD Student, Dartmouth College

Dartmouth CS

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. My PhD 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 RPGs and cats.

  • NLP
  • Statistics
  • ML
  • Sports Analytics (basketball/tennis/football)
  • Business Management
  • Skyrim
  • PhD in Computer Science, 2021-

    Dartmouth College

  • BSc in Statistics, 2017-2021

    Brigham Young University


(2023). Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity. EMNLP 2023 (GEM Workshop).

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(2023). The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints. IEEE ICHI 2023.

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(2023). HealthE: Recognizing Health Advice & Entities in Online Health Communities. ICWSM 2023.

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(2022). Consumtion as Therapy: Individual and Country Factor effects on Stress and Optimism During a Sustained Stressor. AMA 2022.



Dartmouth College Dept of Computer Science
Graduate Teaching Assistant
Sep 2021 – Present Hanover, New Hampshire
  • CS 65/165 Android Programming (Fall 2021, Dr. Xing-Dong Yang)
  • CS 30 Discrete Mathematics in Computer Science (Winter 2022, Dr. Hsien-Chih Chang)
  • CS 74/274 Machine Learning and Statistical Data Analysis (Spring 2022, Dr. Sarah Masud Preum)
Teaching Assistant
Jan 2021 – Apr 2021 Utah
  • Designed homework assignments and programming labs for a new Computer Science course, CS 201R Intro to Data Science
  • Led weekly programming help sessions of up to 30 students
Aetna, a CVS Health Company
Data Science Intern
Jun 2020 – Aug 2020 Remote
  • 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
Dec 2019 – Dec 2020 Utah
  • Worked independently under Dr. Quinn Snell to build end-to-end neural network for classification of online news articles as “fake”
  • Engineered unique features from news article URL, webpage metadata, and article body using custom-built word/character embeddings and NLP models
  • Shipped model to flask server, built chrome extension for fake news article detection
Juni Learning, Inc.
CS Instructor
Jul 2019 – Sep 2021 Remote
  • Weekly mentored 20+ students aged 7-18 in Scratch, Python, and Java
  • Trained 15+ students in common competitive programming algorithms and techniques, helping them to prepare for the USA Computing Olympiad bronze, silver, and gold divisions
BYU Marketing Dept
Research Assistant
May 2019 – May 2020 Utah
  • Statistical researcher under Tamara Masters, Ph.D.
  • Provided data modeling, analysis, insight, and creativity for 8+ research projects
BYU Statistics Dept
Teaching Assistant
Jan 2019 – Dec 2019 Utah
  • Assisted Drs. Fellingham and Nielsen in teaching 3 large introductory statistics courses covering probability, hypothesis testing, linear regression, R programming, etc.
  • Biweekly prepared and led lectures of 40+ students
BYU Statistics Dept
Sports Analytics Research Assistant
Sep 2018 – Apr 2019 Utah
  • Collected, managed, and analyzed 5+ years of match data for BYU women’s and men’s tennis teams
  • Led team of 11 interns in data collection, project ideation, and statistical analysis processes
  • Built and presented player-specific probabilistic models of serving percentages by service position and point outcome, presenting research insights to head coaches


Jun 2023 – Present New Hampshire
  • Walking cute dogs and playing with cute cats once a week. I wish I could share photos! :(
Refugee Youth Mentor
Jun 2019 – Jun 2020 Utah
  • Met with newly-arrived (< 1 year in U.S.) teenage refugee for 2+ hours weekly, assisting in assimilation process via English tutoring, cultural activities, and mentorship
  • Participated in quarterly trainings on topics ranging from English as a second language tutoring to comprehensive gang prevention
ESL Elementary School Reading Tutor
Jul 2018 – Dec 2018 Utah
  • Tutored elementary school students ages 7-10 in reading and writing English as a second language