Eric Sortland

About Eric Sortland

I\'m a graduate student at the University of Minnesota pursuing an M.S. in Computer Science with a focus on Machine Learning and Artificial Intelligence. My current research centers on Bayesian optimization, active sensing, and adaptive experimental design — with applications in medical devices, physiological signal modeling, and data-efficient decision-making.Previously, I was a Software Engineer at Target, where I helped design and implement scalable ML platform tooling using Ray.io and Vertex AI. I also interned at Boston Scientific in the Cardiac Diagnostics R&D group, where I developed transformer-based models for heart sound data and explored uncertainty-aware clinical inference using Bayesian neural networks.I completed my B.S. in Computer Science at the University of Minnesota, where I was part of the GroupLens research lab under the mentorship of Lana Yarosh.Outside of work, I enjoy hiking, travel, reading, and playing piano.Technologies I\'ve worked with include: PyTorch, BoTorch, Ray.io, Vertex AI, MLflow, DVC, PySpark, Kafka, Scikit-learn, Pandas, Numpy, PostgreSQL, and MongoDBPlease feel free to send me a message if you\'d like to connect.

Experience

1. Ai Ml Scientist Intern

   Boston Scientific

   May 2025 — Present · Arden Hills, MN, US

   Worked on foundational ML research to support clinical signal interpretation and diagnostic modeling.• Developed transformer-based models for heart sound time series to establish a pre-trained encoder for physiological signals• Built downstream prediction heads for tasks including S1/S2 heart sound location detection and atrial fibrillation burden estimation• Integrated Bayesian neural networks to enable uncertainty-aware clinical inference• Established an end-to-end reproducible modeling workflow using MLflow and DVC to align with emerging FDA standards• Collaborated cross-functionally with researchers, engineers, and product leads to ensure alignment between modeling goals, clinical relevance, and regulatory requirements

Education

• University of Minnesota

  Bachelor of Science - BS

  2017 — 2021