Research Interests

Health and wellness research · Natural language processing · Machine learning · Cognitive science

Experience

Leidos

August 2023 – Present
Full-Stack Software Developer
  • Created domain adaptation of clinical language models to model health content of service members and presented research at the Military Health System Research Symposium
  • Collaborated with an interdisciplinary team of data scientists, epidemiologists, and health scientists to create machine learning models that predict physical fitness outcomes and presented research at the American College of Sports Medicine conference and the International Congress on Soldiers' Physical Performance
  • Served as a technical liaison to institutional review boards, maintaining data sharing mechanisms for human-subjects research
  • Queried large-scale electronic health records and operational data sources for cohorts of up to 2.5 million service members

Capgemini

November 2020 – December 2022
Full-Stack Software Developer
  • Migrated legacy insurance systems to a modern microservice cloud architecture with Amazon Web Services
  • Designed and implemented auto-scaling serverless solutions to optimize resource utilization and handle variable traffic loads
  • Developed responsive frontend applications using React and Vue.js alongside user experience teams to ensure intuitive user interfaces

Infosys

June 2018 – November 2020
Software Developer
  • Coordinated with international teams deploying solutions for aerospace manufacturing systems across the United States
  • Documented, analyzed, and resolved software bugs in legacy systems

Indiana University

May 2016 – August 2016
Undergraduate Researcher

University of Notre Dame

May 2015 – August 2015
National Science Foundation Researcher

Publications

  • Dempsey, J., Stamets, J., & Eggleson, K. (2017). Stakeholder views of nanosilver linings: Macroethics education and automated text analysis through participatory governance role play in a workshop format. Science and Engineering Ethics, 23(3), 913–939

Conference Presentations

  • Stamets, J., Robinson, M., Smith, R., & Macgregor, A. (2026). Continually adapting language models for Sailor clinical notes [Oral presentation]. Abstract MHSRS-26-4239, Military Health System Research Symposium
  • Stamets, J., Robinson, M., Smith, R., Romine, J., \& Macgregor, A.\ (2026). Longitudinal predictors of cardiovascular physical readiness test failure [Oral presentation]. American College of Sports Medicine Annual Meeting
  • Robinson, M, Stamets, J., Smith, R., \& Macgregor, A.\ (2026). Sequential models of fitness outcomes in the Navy Physical Readiness Test [co-author]. International Congress on Soldier Physical Performance

Education

Georgia Institute of Technology

2023
Master of Science, Computer Science — specialization in machine learning

Indiana University

2018
Bachelor of Science, Cognitive Science
Bachelor of Arts, Computer Science
Bachelor of Arts, Philosophy

Awards

Jean Derdula Mick Scholarship

May 2017
Best honors thesis in ethical philosophy

Biddle Service Award

May 2017
Indiana University Department of Philosophy — awarded jointly

Cognitive Science Outstanding Contribution Award

May 2016
Indiana University

Academic Service

Indiana University Undergraduate Philosophy Organization

August 2016 – May 2018
President
  • Volunteered with the IU Philosophy department to host events with well-known philosophers like John Searle
  • Hosted paper reviews and special lecture sessions on specialized topics like German Idealism and philosophy of mind

Midwest Undergraduate Cognitive Science Conference

August 2015 – May 2016
President
  • Organized a regional undergraduate science conference
  • Coordinated with student groups and university departments to raise funding

Indiana University Cognitive Science Organization

August 2014 – May 2015
President

Technical Skills

Causal inference
PyWhy (DoWhy, EconML)causal graphs & structural causal modelstreatment-effect estimation
EEG analysis
MNE-Pythondigital signal processingfilteringartifact rejectionspectral featuresreal-time inference (ONNX)
Data science
PythonpandasNumPyscikit-learnPyTorchSeabornstatistical modeling
Unsupervised learning
clusteringtopic modelingdimensionality reductionrepresentation learning
Cloud & back end
AWS (SageMaker, Lambda)AzurePostgreSQLDjangoNode.jsRESTful APIs