Jane Adams

Hey, thanks for visiting! Please reach out if you think we could make something cool together :)

IRL

In my personal time, I enjoy curating and making art. I love rock climbing, taking care of plants, and hiking. I love my partner very much and we’re excited to be getting married soon! My favorite video games are Minecraft, Civilization VI, Cities Skylines, and Anno 1800. I am very slowly researching and writing a book about realism techniques in paintings c.1700-1900, and exploring the use of L systems for data art. I’m a moderator of datavis.social, a Mastodon instance in the fediverse. I’m a proud member of GENU-UAW graduate workers’ union.

CURRENT POSITIONS

Graduate Research Intern: Applications of language models for annotation and reconfiguration of a flow cytometry visualization platform | Summer 2024
Ozette Technologies, Seattle WA/Remote

Doctoral Student (Ph.D.), Computer Science | Fall 2021 – Present
Data Visualization Lab @ Northeastern University, Boston, MA

Graduate Certificate in Bioinformatics | January 2024 – Present
Northeastern University College of Science, Boston, MA

RESEARCH

I’m presently a 4th-year Computer Science PhD student in the Data Visualization Lab at Northeastern University’s Khoury College, under the advisement of Dr. Michelle Borkin, and also completing coursework in the College of Science for a graduate certificate in Bioinformatics. This past year, I worked on developing longitudinal lab analysis tools for liquid chromatography and mass spectrometry (LC/MS) with Agilent Technologies, before joining Ozette Technologies as a graduate research intern. Our summer internship project was so successful that we decided to continue my work on applying multi-agent natural language systems to exploratory analysis dashboards through the end of the fall semester. My research interest, broadly, is visualization for exploratory analysis of high-dimensional data (yes, I would love to talk with you about non-linear projection methods over coffee). Book a meeting with me here!

My favorite language is Python, and some of my favorite libraries are NetworkX, Plotly, SciKit Learn, and Pandas. I usually work in Python, D3](https://d3js.org/)/JS.js, TypeScript, Svelte, and full stack web development (MERN, LEAN, etc.). I have experience with HPC (High-performance Computing), slurm/chron (job scheduling), building FastAPI and Flask/uWSGI APIs, nginx configuration, AWS S3/EC2 deployment, React dashboards, Google Cloud Platform (GCP) for scientific computing, BigQuery, Docker, vite, OAuth/MFA, and BitBucket and GitHub CI/CD pipelines. Sometimes I dabble in Java and C++ for art projects, or use R for statistics. Some Python libraries I’ve been learning to use lately are LangChain/LangGraph, ChromaDB, and CuGraph (a CUDA wrapper for NetworkX to make toposort go brrrr). I’m really curious about becoming more proficient at Python scripting in Blender.

I’ve been a speaker and panelist at NVIDIA GTC (Global Technology Conference) in 2021 and 2022, SXSW 2022 and 2023, TEDx, AIGA, ODSC East in 2018 and ODSC West in 2019, IEEE VIS in 2023, and AAAI in 2022. I’ve organized workshops at WiDS Stanford, and IEEE VIS 2020, 2021, 2022, and 2023, and I will be serving as Student Chair for the Information+ Conference in 2025. I have published work in TVCG (IEEE Transactions on Visualization and Computer Graphics), Science, PLoS, EPJ Data Science, JMIR Society of Digital Psychiatry Journal of Mental Health, JMM (Joint Mathematics Meetings), and more. You can find my Google Scholar profile here.

You can find me on Mastodon at janeadams@datavis.social.