Neil Anthony, PhD

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

 

Fluid Momenta - Founder - Life Sciences Consultant

General life science bio tech and data support. (10/2025 – Present)

  • Currently supporting three different clients; molecular dynamics development, publication support, and tech bio founder startup.

Mercor - Data Science Expert

mercor.com

AI hiring startup providing AI model training experts. (11/2025 – Present)

  • Developed data science training data for LLMs via Jupyter notebooks.

Linus Bio - Data Science Director (Contract)

linusbio.com

Biotech startup providing ASD diagnoses from hair exposome. (2025 - Present)

  • Advised predictive modeling team on temporal feature engineering and RNNs; Researched and applied topological unsupervised clustering embeddings for EDA visualizations.

  • Supported cross-functional team towards CLIA certification; Optimized mass-spec data and QC pipeline with 10x improvement

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, automated QC), transcriptomics (QC, anomaly detection, normalization), multi-photon & fluorescence lifetime imaging (deep learning pipelines, spatial and tumor niche characterization).

  • Implemented graph neural network (GNN) approaches for spatial analysis of the tumor niche, identifying tissue-level patterns.

  • Led startup phase data team, established strategy, 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)

AI / ML / DL

  • Deep Learning: PyTorch, CNNs, RNNs, GNNs

  • Classical ML: Time series, regression, clustering;  Computer Vision: Classification, segmentation, tracking

  • Generative AI: LangChain, ComfyUI, RFDiffusion, Prompt Engineering

Programming & Tools

  • Langauges: Python (primary), R, MATLAB, SQL

  • Frameworks: PyTorch, scikit-learn, Polars, NumPy

  • Agentic: Claude Code, Gemini-CLI, MCP

  • Visualization: Plotly, Matplotlib, Seaborn

  • 3D: Blender, Unity

AI Applications

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

Cloud & MLOps

  • Cloud Platforms: AWS, Azure

  • Deployment: Docker, Azure Pipelines, CI/CD

  • MLOps Tools: Databricks, MLFlow, Azure ML, Sagemaker

Life Sciences

  • Applications: Basic research, diagnostics, clinical trials, protein design

  • Data Types: Bio-imaging, flow cytometry, -omics, spectroscopy

  • Regulatory: CLIA, HIPAA, ISO Standards

Soft Skills

Problem Solving | Initiative & Ownership | Cross-Functional Collaboration

Awarded Grants

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

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