Matt Mollison
Principal Machine Learning Engineer at Branch International
Somerville, Massachusetts, United States
Summary
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Senior🎓
Top SchoolMatt Mollison is a Principal Machine Learning Engineer with 15 years of experience applying data science and ML across startups and enterprise fintech at Branch International. He combines a PhD in cognitive neuroscience with practical production ML—building pipelines, interpretable models, and scalable systems for hiring analytics, fraud, and product personalization. His background in experimental design and neural data analysis informs rigorous feature engineering and evaluation practices, and he’s contributed teaching-oriented ML projects and EDA work in notable community repos. A former co-founder and technical advisor, he blends product-minded leadership with hands-on model development and deployment, often focusing on explainability and reducing bias in real-world decision systems.
15 years of coding experience
20 years of employment as a software developer
Doctor of Philosophy (PhD) Cognitive Neuroscience, Doctor of Philosophy (PhD) Cognitive Neuroscience at University of Colorado BoulderBachelor of Arts (BA) Psychology, Bachelor of Arts (BA) Psychology at Brandeis University
Stackoverflow
1reputation
0reached
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Github Skills (17)
data-visualizations10
python10
evaluation10
scikit10
pandas10
machine-learning10
data-visualisation10
exploratory-data-analysis10
eda10
eval10
scikit-learn10
jupyter-notebook10
data-visualization10
data-analysis10
tensorflow9
Programming languages (6)
Github contributions (5)
sfbrigade/data-science-wg
Feb 2016 - Jun 2016
SF Brigade's Data Science Working Group.
Role in this project:
Data Scientist
Data ScientistContributions:11 commits, 2 PRs, 1 comment in 4 months
Contributions summary:Matt's contributions primarily involve exploratory data analysis (EDA) using Jupyter notebooks. They updated and modified existing notebooks related to 311 data, likely to explore data patterns, clean the data, and generate initial visualizations. The edits demonstrate the user's focus on understanding and presenting insights from the data, as reflected in the addition of new data visualizations and the modification of existing analyses. The edits were made to EDA notebooks that were being worked on.
data-scienceinferential-statisticspredictive-modelingdata-visualizationcode-for-sf
lukas/ml-class
Apr 2017 - Apr 2017
Machine learning lessons and teaching projects designed for engineers
Role in this project:ML Engineer / Data Scientist
ML Engineer / Data ScientistContributions:8 commits, 1 PR in 1 day
Contributions summary:Matt primarily contributed to machine learning projects, focusing on various algorithms and techniques. Their commits demonstrate work with scikit-learn, TensorFlow, and Keras, involving tasks like model training, cross-validation, and hyperparameter tuning. The user also refactored code to use `model_selection` for cross-validation, indicating a focus on best practices and model evaluation.
machine-learningmachine-learning-tutorialsdeep-learning-tutorials
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