Michael Ingram

Machine Learning Engineer with 8 years of experience in biotech, specializing in developing digital solutions, enhancing decision-making, and driving innovation.

DATA SCIENTIST | Amgen | Cambridge, MA                                                                    October 2022 – Present
• Developed digital assets to reduce costs, accelerate development, and enhance process robustness.
• Saved $500k annually by developing a Python-based machine learning model for simulating drug product filling, combining empirical pump data using Sci-Kit Learn with physics-based principles. 
• Migrated and optimized data storage from S3 to RDS, cutting query load times by 80%.
• Cut 50% of scientists’ time spent aggregating data by deploying web applications using React, FastAPI, and Docker with AWS services, standardizing workflows for drug candidate comparisons.
• Doubled the active users of a Python-based model by converting to a web application using Plotly Dash.
• Created dashboards for modeling assets to allow business owners to monitor use and improvement areas.
• Led training initiatives for AI/ML upskilling and created SOPs for model qualification.
• Set up CI/CD pipeline for automated testing and deployment, reducing errors and speeding up development.

PROCESS DEVELOPMENT SCIENTIST | Amgen | Cambridge, MA December 2018 – October 2022
• Built data pipeline for digesting high-throughput experiments into the enterprise data lake.
• Standardized data interpretation by developing Spotfire dashboards for bioreactor studies.
• Utilized Design of Experiments (DOE) to optimize bioreactor studies and chromatography runs.
• Performed Process Characterization (PC), including executing statistically designed studies to establish control strategies, identify critical process parameters, and ensure product quality consistency.
• Authored and reviewed regulatory documents, ensuring compliance and supporting successful filings.
• Led cross-functional teams in lab safety initiatives, working closely with EHSS and other lab departments.
• Managed lab meetings to coordinate downstream activities for ~35 scientists, addressing department-wide issues.

Masters in Data Science, Tufts University, Medford, MA - 2024

Bachelors in Chemical Engineering, University of Connecticut, Storrs, CT - 2016