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Hire Dr. Brandon H.

United States

USD 100 /hr

Machine Learning Scientist, PhD | Biomedical Signal & Image Analysis, EEG/MRI, Python & PyTorch

Profile Summary

I'm a machine learning scientist with a PhD in cognitive neuroscience and over a decade of experience turning noisy, high-dimensional biomedical data into reliable, decision-ready results. I specialize in building and validating ML and signal/ image-processing workflows for neurophysiology, neuroimaging, spatial biology, and clinical and multi-omics datasets. What I can help with: - ML model development and evaluation (CNNs, graph neural networks; PyTorch/TensorFlow) - EEG, fMRI/MRI, and fNIRS signal and image analysis (filtering, spectral analysis, feature extraction) - Neuroimaging workflows (DICOM/NIfTI processing and downstream analysis) - Reproducible, production-grade data pipelines (Python, Airflow/Dagster, AWS), with data validation and QC - Multi-omics and target-discovery analysis (GWAS, eQTL, pathway and network integration) - Statistical analysis, experimental design, and clear technical reporting Selected experience: I led ML and software for 3D biological imaging at a biotech imaging company—nearly doubling automated cell-detection F1 (0.31 → 0.61) and stabilizing production pipelines used by external customers. I've built neurophysiological signal-processing ML for government-sponsored research at Charles River Analytics, developed biomarker-discovery analytics for a clinical-stage neuroscience biotech, and managed neuroimaging data workflows for clinical research at Beth Israel Deaconess Medical Center. Education: PhD & MS, Brandeis University; MA, Columbia University; BA, Monmouth University. I work carefully, document thoroughly, and communicate results clearly to both technical and non-technical stakeholders.

Subject Matter Expertise

• ☆ Computational Biology
• ☆ Biostatistics
• ☆ Neuroscience
• ☆ Neurochemistry
• ☆ Behavioral Neuroscience
• ☆ Computational Neuroscience
• ☆ Cognitive Neuroscience
• ☆ Neuropsychology
• ☆ Systems Neuroscience
• ☆ Microscopy
• ☆ Fluorescence Microscopy
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Predictive Modeling & Analytics
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Management
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Data Cleaning
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Statistics
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Study Design
• ☆ Medical Statistics
• ☆ Health Data Analysis
• ☆ Python
• ☆ Matlab
• ☆ SQL
• ☆ Tensorflow

Services

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Medical Writing, Technical Writing

Research Feasibility Study, Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-ML, Data Visualization, Data Cleaning, Data Processing

Product Development Formulation

Work Experience

AI Data Engineer

Alzheon Inc.

June 2025 - July 2025

Director of Analytics

Lifecanvas Technologies

June 2023 - March 2025

Data Scientist

Charles River Analytics

June 2021 - March 2023

Research Scientist / Teaching Fellow

Brandeis University

September 2016 - May 2021

Neuroimaging Lab Manager

Beth Israel Deaconess Medical Center

September 2014 - February 2016

Education

PhD | Neuroscience

Brandeis University

June 2016 - May 2021

MA - Developmental Psychology

Columbia University

March 2008 - June 2009

Certifications

• Neo4j Certified Professional

  Neo4j

  https://graphacademy.neo4j.com/c/1c0158a4-b8b7-4fb0-85f0-a4daeb7cd5d1/

  August 2025 - Present

• Building AI & Machine Learning Systems

  Machine Learning School

  https://www.ml.school/certificate?id=lg7wjmzdil

  March 2025 - Present

Publications

JOURNAL ARTICLE

Brandon M. Hager, Albert C. Yang, Jennifer N. Gutsell (2018). Measuring Brain Complexity During Neural Motor Resonance . Frontiers in Neuroscience.

Brandon Hager, Albert C. Yang, Roscoe Brady, Shashwath Meda, Brett Clementz, Godfrey D. Pearlson, John A. Sweeney, Carol Tamminga, Matcheri Keshavan (2017). Neural complexity as a potential translational biomarker for psychosis . Journal of Affective Disorders.

N. R. Bolo, G. Musen, D. C. Simonson, L. D. Nickerson, V. L. Flores, T. Siracusa, B. Hager, I. K. Lyoo, P. F. Renshaw, A. M. Jacobson (2015). Functional Connectivity of Insula, Basal Ganglia, and Prefrontal Executive Control Networks during Hypoglycemia in Type 1 Diabetes . Journal of Neuroscience.

Brandon M. Hager, Matcheri S. Keshavan (2015). Neuroimaging Biomarkers for Psychosis . Current Behavioral Neuroscience Reports.