Lauren Shriver

Independent Computational Scientist

Research Expertise

nonlinear dynamics

About

I’m trained in neuroscience and computational biology, and my work sits at the boundary between biological systems, dynamical modeling, and physics-informed machine learning. My interests span oscillatory dynamics, statistical mechanics, and the development of models that respect physical principles and biological structure. Recent work includes developing physics-informed neural networks (PINNs) and dynamical systems models for scientifically grounded learning tasks. Across projects, I prioritize interpretability and parsimony; building models that capture structure before optimizing performance. A guiding principle in my work is "physics first; data second". <br>

Education

Christopher Newport University

B.S., Neuroscience / May, 2015

Newport News, Virginia, United States of America

College of William & Mary

MSc., Computational Biology / May, 2017

Williamsburg, Virginia, United States of America

Experience

Varsity Tutors

Remote Tutor / August, 2022 — Present

Tutor in STEM subjects

Mathematics Expert / February, 2019 — Present

Reinforced Learning AI training

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