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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

Electron Heating in Kinetic-Alfvén-Wave Turbulence
AI for Cancer Diagnosis
Computing Hidden Health Threats from Heat
New Insights on Binary Black Holes
Dexterous Robotic Hands
Taming the Energy Appetite of AI Models
Monte Carlo eXtreme (MCX) - a Physically-Accurate Photon Simulator
Simulating Large Biomolecular Assemblies
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Collaborative projects

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OUTREACH & EDUCATION PROJECTS

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