Everything else

I founded United AI at Syracuse to give students across technical and nontechnical fields a place to learn, build, research, and take part in conversations around artificial intelligence.

The organization now has about 200 members. Roughly 50 students have participated in project teams, with work ranging from deployed software to university research collaborations. We also run build nights, workshops, public-impact programming, an AI Safety Fellowship, and the university-wide AI Summit.

My role covers organizational direction, partnerships, programs, fundraising, and a great deal of coordination across the student team and university.

• unitedai.community
• AI Summit page
• Syracuse University News
• Daily Orange

At IACS, I work on behavioral and neuroimaging analysis for research on meditation, neuromodulation, and individual differences in subjective response.

My work has focused on reliability, statistical modeling, reproducible analysis, and the connection between behavioral outcomes and brain-network organization. The day-to-day work is usually less glamorous than the research question: definitions, data cleaning, assumptions, models, validation checks, and repeated revisions.

• advancedconsciousness.org

Research area

consciousness science, neuroimaging, neuromodulation

Methods

structural MRI, resting-state fMRI, diffusion MRI, behavioral modeling, reliability analysis, cross-validation, Python, R

I served as a Claude Builder Ambassador, working directly with students who were learning to build with Claude and Claude Code.

Through workshops, build nights, and hands-on support, I watched people move into technical work that had previously felt out of reach. That experience gave me a close view of how quickly AI-assisted development changes the learning curve, especially for students entering unfamiliar technical domains.

The role also connected naturally with my work through United AI, where Claude became part of our broader effort to help students build, experiment, and develop stronger judgment around advanced AI systems.

Public Impact grew out of a question inside United AI: how do students examine technological change through policy, institutions, labor, access, democracy, and public understanding?

Civic Futures was our first small cohort built around that work. The program now feeds into a broader public-impact fellowship at Syracuse.

EnFlow was an early software project built around health data, calendar context, prediction, and AI-assisted guidance. Working closely with a mentor, I learned Swift, worked through machine-learning problems, and used AI heavily inside the development process. We eventually reached TestFlight.

The project changed my sense of technical range. I learned how far a person may move into an unfamiliar problem by learning during the build, while also seeing how quickly implementation sometimes outruns understanding.

• Enflow on GitHub

A small side project combining EEG data, visualization, and optional Claude-assisted interpretation. The project started as a weekend-scale experiment across neurotechnology, software, and frontier AI.

• EEG Analyzer on GitHub
• Post

Blatchley was my first sustained research experience. I worked with microscopy, organoids, image analysis, segmentation, and Python while learning the basic discipline of research inside a lab.

The experience also pushed me toward questions about biological organization and intelligence beyond familiar nervous systems.

• Blatchley Lab

At Hawaii Pacific Neuroscience, I worked in a clinical research environment with neurological data connected directly to patients and disease.

I learned research protocol, patient privacy, clinical neuroscience, and analysis while gaining a much clearer sense of the standards required for defensible scientific work.