Biophysics data scientist specializing in multidimensional and spatiotemporal analyses, transforming complex life sciences data into groundbreaking discoveries and visualizations. Passion for understanding and visualizing dynamics, from molecular level interactions to the flowing movements of Tai Chi.
Biotech startup providing ASD diagnoses from hair exposome. (2025 - Present)
Mass spectrometry data pipeline, QC, and spectra visualizations.
Exposome data analysis and predictive modeling support. Dimensionality reduction topological visualizations.
Biotechnology and predictive oncology startup. (2021 - 2024)
Developed and deployed ML/AI solutions for diverse biological data: flow cytometry (dimensionality reduction, interactive visualization), transcriptomics (QC, anomaly detection, normalization), multiphoton microscopy & fluorescence lifetime imaging (deep learning pipelines, spatial analysis for tumor niche characterization).
Pioneered graph neural network (GNN) approaches for spatial analysis of the tumor niche, identifying novel targets and pathways.
Led startup phase data science team, established data strategy processes, and built full-stack solutions connecting ML models with researcher-facing applications.
Integrated Cellular Imaging core facility providing experimental design, imaging, analyses and visualizations for all campus departments. (2013 - 2021)
Researched and implemented cutting-edge deep learning techniques (Noise2Void, Cellpose, StarDist) for biological image analysis
Engineered AWS-based cloud solutions for research data management and processing
Developed custom 3D/4D visualization tools and plugins for scientific imaging applications
Built open-source light sheet microscopy system with 3D multiview registration algorithms
Led strategic adoption of emerging AI technologies across research teams
Secured $1.4M in grants through collaborative research proposals
Hosted presentations, image competitions, mini-conferences, and educational workshops (ici.emory.edu/news)
PhD, Biophysics, Emory University (2007-2013)
MPhys, First Class Honours, University of Bath UK (2003-2007)
NIH High-End Instrumentation Grant: $1,057,000 (PI, 2020)
NIH Shared Instrumentation Grant: $308,440 (PI, 2022)
Machine Learning, Deep Learning (CNN, GNN) | Python Development | PyTorch | Cloud Computing | Image Processing | Git/GitHub
Scientific Visualization | Image Analysis & Enhancement | Generative Models | Time Series
Problem Solving | Initiative & Ownership | Cross-Functional Collaboration