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. 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.

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 rising 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. 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/JS, Svelte, and full stack web development (esp. MERN). I have experience with HPC/Slurm, building Flask APIs, React dashboards, Google Cloud Platform (GCP) for scientific computing, BigQuery, Docker, OAuth/MFA, and BitBucket and GitHub CI/CD pipelines. Sometimes I dabble in Java and C++ for art projects, or use R for statistics. I’m in the process of learning TypeScript. 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’ve been a speaker and panelist at NVIDIA GTC, SXSW 2022 & 2023, TEDx, AIGA, ODSC East and West, IEEE VIS, and AAAI. I’ve organized workshops at WiDS Stanford, and IEEE VIS 2020, 2021, 2022, and 2023. I have published work in TVCG, Science Advances, PLoS, EPJ Data Science, JMIR, JMM and more. You can find my Google Scholar profile here.

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