Jason Carpenter

Senior Machine Learning Engineer

Jason Carpenter is a Senior Machine Learning Engineer at Manifold, where he works on both machine learning and data engineering projects. He uses the PyData toolkit, along with tools such as MLFlow, to implement production machine learning pipelines; and uses tools such as Spark, Kubernetes, and Airflow to develop data pipelines. Recent product successes include creating an anomaly detection model for a photonics company, building a Spark data pipeline for a medical device company, and publishing two peer-reviewed machine learning papers in collaboration with a digital therapeutics company.

Prior to Manifold, Jason was a Neuroscience Research Associate at UCL (University College London), where he investigated specific brain regions by integrating computational modeling and neuroimaging techniques. While there, he also analyzed high-dimensional longitudinal neuroimaging data using Statistical Parametric Mapping (SPM) in MATLAB.

Jason has an MS degree in Data Science from the University of San Francisco (USF), and a BS in Cognitive Science from the University of California, Los Angeles (UCLA).



AnacondaCon  Scalable Machine Learning Pipelines with Dask Apr. 3–5
Austin, TX