21–26 Jun 2026
U. Ottawa - Learning Crossroads (CRX) Building
America/Toronto timezone
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Interpretable data-driven dynamics of human aging

Not scheduled
15m
U. Ottawa - Learning Crossroads (CRX) Building

U. Ottawa - Learning Crossroads (CRX) Building

100 Louis-Pasteur Private, Ottawa, ON K1N 9N3
Invited Speaker / Conférencier(ère) invité(e) Big Data in Matter, Materials, and Beyond / Le Big Data dans la matière, les matériaux et au-delà W1-2 Big Data in Matter, Materials, and Beyond | Le Big Data dans la matière, les matériaux et au-delà

Speaker

Prof. Andrew Rutenberg (Dalhousie University)

Description

High-dimensional health data is measured regularly for large study populations. We do physics with this big data, with a particular focus on the complex dynamics of human aging. While we started with flexible deep-learning approaches to predict future health, we have used them to identify simpler stochastic dynamical models within interpretable latent spaces. I will tell you about our methods, our findings to date, and the open questions we continue to pursue.

Keyword-1 human aging
Keyword-2 dynamics
Keyword-3 machine learning

Author

Prof. Andrew Rutenberg (Dalhousie University)

Presentation materials

There are no materials yet.