Systems Structural Biology Group

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Build research with us.

We welcome students, trainees, and collaborators interested in structural discovery, molecular simulation, machine learning, and human-centered AI. If our work aligns with your interests, we would be glad to hear from you.

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Who we are looking for

We are especially interested in people who enjoy rigorous interdisciplinary work, clear communication, and building tools or models that connect scientific depth with real research impact.

Graduate researchers

Students interested in structural biology, molecular simulation, interpretable machine learning, or human-centered AI are encouraged to reach out with research interests and prior experience.

Undergraduate assistants

We welcome motivated undergraduates who want hands-on exposure to computational science, data analysis, scientific software, and interdisciplinary research workflows.

Collaborators

We are interested in collaborations spanning structural discovery, biophysics, visualization, machine learning, digital health, and complex systems research.

Research directions

Current work spans computational structural biology, multiscale simulation, adaptive AI systems, and interpretable modeling for complex scientific problems.

Structural biology and molecular dynamicsMachine learning for scientific discoveryHuman-centered AI and decision supportMultiscale modeling and complex systems

What to send

  • A short note describing your interests and what drew you to the lab.
  • A CV or resume highlighting coursework, projects, publications, or technical skills.
  • Relevant links such as GitHub, Google Scholar, LinkedIn, or a portfolio when available.

Best way to reach out

The easiest way to start is by email. A concise introduction plus a resume or CV is enough for an initial conversation.

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