Annie K. Lamar
- annieklamar@gmail.com
- annieklamar.github.io
- Palo Alto, CA; Seattle, WA
Data engineer with expertise in low-resource NLP, ML, and research computing. Offer 9+ years of coding and research experience, 4+ years of program management and curriculum design, and an international research publication history. Exemplary ability to design custom data-driven interventions for complex problems.
Technical Experience
High-Performance Research Computing Consultant
Stanford Research Computing (SRC), Stanford University | 2023 - Present
- Create, improve, and test research scripts in Python and R for a variety of NLP tasks, including generation, NER, geocoding, and audio/text alignment (example with LLMs).
- Write public-facing shell scripts and Slurm utilities for a variety of research contexts, including parallelization, high-memory requirements, and GPU utilization
- Aid SRC team in acquiring funding resources and participate in interdepartmental presentations.
- Collaborate on an open-source book project, titled Research Computing for Humanists, that aims to improve and augment user experiences on Stanford’s research computing systems.
Technical Data Science Mentor
Data Science for Social Good, Stanford University | 2023 - 2023
- Design, scope, and implement a project to merge several datasets from food banks, nutritional programs, and sustainability initiatives to provide our client, Feeding America food banks, with data-driven analysis of their nutritional and climate impact on target communities over time. [link]
- Manage a team of two students; design scaffolded learning activities and prepare technical infrastructure for students.
- Run daily lab meetings and aid students in learning project management, code design, statistics, Python, database skills, web-app creation, and principles of open-source Software design.
- Teach technical data science skills to students in one-on-one and group settings of 20+ students.
Lead Technical Graduate Mentor
Stanford Center for Spatial and Textual Analysis (CESTA) | 2019 - 2024
- Designed internship curriculum, coordinated program events, and gave technical workshops for 50 undergraduate interns and 20 faculty projects per quarter.
- Lead a project to completely redesign the internship application process to promote equity in our review process, which considers 150+ applicants each year.
- Consult with students and faculty on technical and computational challenges related to database design, implementation, and access in SQL; geospatial software, including ArcGIS and QGIS; neural model design for text and image datasets; overall digital research project scoping and coordination.
- Taught 30+ workshops per year to 20+ students on data analytics, visualization, and presentation; text-mining, machine learning, and spatial analysis; research presentation skills and publication.
Teaching & Curriculum Design
Stanford University, University of Puget Sound, Stanford Pre-Collegiate Studies | 2019 - Present
- Design and teach original courses on Text-Mining (Summer 2024, University of Puget Sound) and Interdisciplinary Technical Writing (Summer ’22 and ’23, Stanford Pre-Collegiate Studies)
- Redesign curriculum and teach Python, data analytics, and machine learning tools in Methods for Historical Data Science (Summer and Fall ’22, Stanford University)
Open-Source Software
FoodFrame
Standardize. Analyze. Impact.Create nutrition and sustainability profiles for large food datasets.
Pyth-agora
Modeling Social Networks around Market Spaces and Market OutcomesThis multidimensional social landscape tests the impact of social relationships on individual consumption, and models how individual transactions accumulate to create long-term production and consumption trends.
Classical Atlas
A Python Package for Open-Access Geospatial DatasetsTools for geospatial historians to combine data from several link open-access datasets that are otherwise not loadable with existing tools. Docs available here.