Research
Centered on neutron activation analysis, environmental monitoring, and the data infrastructure that makes field science legible.
Neutron Activation Analysis Pipeline
The NAA pipeline is the core technical infrastructure for processing gamma spectroscopy data collected by the RadWatch network. It handles ingestion, calibration, peak identification, isotope matching, and output — turning raw detector data into interpretable environmental radiation measurements. Development has involved Python, Jupyter notebooks, data pipeline architecture, and close collaboration with field instrumentation.
Interactive Results Viewer
Live HTML results output will be embedded here — gamma spectroscopy data, isotope identification, and analysis outputs from the NAA pipeline.
[ HTML viewer coming soon — drop file here ]
UC Berkeley RadWatch / DoseNet
More Work
Outreach & Education
DoseNet/RadWatch – STEM Radiation Outreach
Science fair demos, classroom visits, soil sample workshops at the Hunters Point Shipyard Superfund site, and co-leading internships mentoring students in radiation detection, Python, and science communication.
Design & Fabrication
RadWatch 3D Modeling & Fabrication
AutoCAD drawings, 3D modeling, and printed enclosures for the DoseNet device and Miniport sensor hardware — from design constraints through fabrication iterations.
Reactor Safety
UC Berkeley Sub-Critical Assembly Safety Analysis
Safety analysis report and project proposal for the UC Berkeley sub-critical assembly.
Fuel Cycle & Waste
RecyCal: Co-Located Nuclear Fuel Recycling & Borehole Disposal
Led regulatory strategy for a capstone PDSAR (NE 167) for a hypothetical California facility reprocessing spent nuclear fuel via pyrochemical fluoride volatility, enriching to HALEU+, and disposing of high-level waste in deep horizontal boreholes. Drafted NRC RAI responses, material-at-risk inventories, and threaded compliance across 10 CFR Parts 50, 70, 72, and 190.
Code & Technical Work
Most of my code and technical work lives on GitLab — pipelines, data apps, sensor integrations, and more.
Closing
What ties all of this together is my belief that science doesn’t need to be mysterious or gatekept. Whether I’m debugging a student’s first Python script, digging a soil sample hole alongside a community elder, or navigating a regulatory framework that barely exists yet — the goal is the same: make the knowledge useful and the work legible.
Dani Solakian 