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Computational Molecular Ecology

The Zhang Lab at URI develops open source software and models for the simulation of biological systems, with a central objective of achieving mechanistic understandings at molecular, organismal, and ecosystems scales.

In this video, Cecile Cres a graduate student in the lab gives a brief presentation about her research on the application of deep learning models to metagenomics and in particular the power of DL-TODA a computer learning tool that given short DNA sequences from a particular sample outputs bacterial species with the highest probability score.

Cecile Cres
Ph.D. candidate Zhang Lab, URI

Research projects

The US ATLAS Northeast Tier 2 Center
Yale Budget Lab
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
Towards a Whole Brain Cellular Atlas
Tornado Path Detection
The Kempner Institute - Unlocking Intelligence
The Institute for Experiential AI
Taming the Energy Appetite of AI Models
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OUTREACH & EDUCATION PROJECTS

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