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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

Studying Highly Efficient Biological Solar Energy Systems
The Institute for Experiential AI
Bone Ratios and Big Data
Computing Hidden Health Threats from Heat
Quantum Computing in Renewable Energy Development
New Insights on Binary Black Holes
Analyzing the Gut Microbiome
The Kempner Institute - Unlocking Intelligence
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OUTREACH & EDUCATION PROJECTS

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