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Resume
Jake Vikoren — 2026
Full Resume / CV
Physics-trained ML engineer · AI for Scientific Discovery
Expertise
Focus Areas
AI for Biology
Applying deep learning to biomedical image analysis, protein structure prediction, and multi-modal model development to accelerate research at the cellular level.
Generative Modeling
Working with VAEs, Diffusion Models, and Flow Matching to design generative models for scientific applications.
Computer Vision
Transformer-based self-supervised learning for complex and nuanced understanding of visual data across domains.
Geometric Deep Learning
Developing invariant and equivariant neural architectures leveraging the inherent symmetries of geometric data.
Atomic-Scale Modeling
Leveraging my experience in physics and materials science to develop models and systems for atomic-scale simulations.
Scalable ML Systems
Building and deploying production ML pipelines for large-scale scientific datasets in interdisciplinary research environments.
Get in Touch
Contact
I'm open to research collaborations, engineering roles, and conversations at the intersection of machine learning and science. Reach out on LinkedIn or explore my work on GitHub.