
Rebecca Abergel
Assistant Professor, Nuclear Engineering, Chemistry, UC Berkeley
Researcher
Rebecca is an Associate Professor in the Departments of Nuclear Engineering and Chemistry at UC Berkeley and the Heavy Element Chemistry Group Leader within the Lawrence Berkeley National Laboratory's Chemical Sciences Division.
The multidisciplinary research undergone in Rebecca's group is at the interface of coordination chemistry, nuclear chemistry, radiochemistry, photophysics, chemical biology, health physics, pharmacology, and molecular and cellular biology. The group studies the effects of heavy element and inorganic isotope exposure and contamination on different biological systems in addition to the coordination chemistry and metabolic properties of lanthanide and actinide complexes formed with synthetic and biological ligands.
Rebecca also leads a large collaborative effort on the development of new drug products for the treatment of populations contaminated with heavy metals and radionuclides. One of these products was granted an Investigational New Drug status from the U.S. Food and Drug Administration in 2014 and is now entering a Phase I clinical trial.
Project Involvement

Targeted AI Enhanced Farmland Nutrient and Water Management and Delivery: Modeling & Simulation (Part A)

Targeted AI Enhanced Farmland Nutrient and Water Management and Delivery: Sensing & Hardware (Part B)

Towards Next-Generation Digital-Twin-Enabled Sustainable Large-Scale Indoor Pod Farming-Part B - Modeling, Digital Twin, PBFE and AI
AIFS Publications
Journal Article ⏐ Physics in Medicine and Biology 2024Journal Article ⏐ Phys. Med. Biol. 2024Fitting Monte Carlo Simulation Results with an Empirical Model of Megavoltage X-ray Beams for Rapid Depth Dose Calculations in Water
DOI: 10.1088/1361-6560/ad51c8
Conference Article ⏐ Nuclear Data for Science and Technology Conference 2025Conference Article ⏐ ND 2025Optimizing XRF Spectroscopy with Fast Monte Carlo Simulations and Machine Learning for Advanced Nuclear Applications
Journal Article ⏐ Spectrochimica Acta Part B: Atomic Spectroscopy 2026Journal Article ⏐ Spectrochim. Acta B At. Spectrosc. 2026A Monte Carlo–driven Genetic Algorithm and Digital Twin Approach for Quantitative X-ray Fluorescence Spectroscopy
DOI: 10.1016/j.sab.2025.107428