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.

Experience

 

Linus Bio - Data Science Director (Contract)

linusbio.com

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.

 

Elephas - Principle Data Scientist

elephas.com

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.

 

Emory University - Imaging Core Specialist / Director

ici.emory.edu

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)

Education

  • PhD, Biophysics, Emory University (2007-2013)

  • MPhys, First Class Honours, University of Bath UK (2003-2007)

Awarded Grants

  • NIH High-End Instrumentation Grant: $1,057,000 (PI, 2020)

  • NIH Shared Instrumentation Grant: $308,440 (PI, 2022)

Technical Skills

Machine Learning, Deep Learning (CNN, GNN) | Python Development | PyTorch | Cloud Computing | Image Processing | Git/GitHub

AI Applications

Scientific Visualization | Image Analysis & Enhancement | Generative Models | Time Series

Soft Skills

Problem Solving | Initiative & Ownership | Cross-Functional Collaboration