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About Clinical Systems Biology

With our relatively newfound ability to perform large-scale surveys of the genomic and proteomic landscape, the principal challenge has shifted away from measurement towards interpretation of the data. Our group has been developing and using analytical approaches rooted in information theory and formal dynamic systems theory to infer biological structure and function in these large data sets. In particular, we have been using this approach to decipher the principles of operation of the immune system by mapping its internal communication network, as well as, its participation in neuro-endocrine signaling. 

Our eventual goal is not only to tap into pathogenic immune conversations; but, also, more importantly, to redirect these conversations with a limited number of well-chosen and well-timed pharmaceutical messages. This research is founded on the premise that for immune therapies to be both safe and effective, the immune system must be considered as an integrated whole.

Research Focus

Current research efforts at the CSB lab is focused on understanding immune dysfunction and neuroinflammation from an integrated systems perspective. In particular, our group is investigating how subtle imbalances in the interplay between the immune system’s multiple components as well as its interactions with the endocrine and nervous systems may lead to complex disorders such as myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), Gulf War illness (GWI), and other neurodegenerative disorders such as Alzheimer's Disease and Parkinson's Disease. Illnesses such as these continue to defy a conventional one-piece-at-a-time approach. As none of the body’s systems function in isolation, we believe that new insight can be achieved by considering the immune, endocrine and nervous systems as part of an overarching and integrated whole. This comprehensive approach is at the very heart of systems biology: an emerging science where context and interaction are key focal points.

CSB Happenings

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Mary Jeffrey receiving the 2019 Clinical Systems Biology Excellence in Research Award
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Tory Toole receiving the 2019 Clinical Systems Biology Excellence in Research Award
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2018 Clinical Systems Biology Group Summer Lunch
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2018 Clinical Systems Biology Group Holiday Lunch
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Rajeev Jaundoo receiving the 2018 Clinical Systems Biology Excellence in Research Award


Opportunities in the Clinical Systems Biology Group

Jobs for which there is funding will be posted here. Check back often for updates.

Type of work: Work within the Clinical Systems Biology Group currently consists in constructing mathematical and computer models describing the neuroinflammatory cascade at the molecular, cellular and systems levels. The models are validated or applied by fitting them to experimental data obtained from the Mary Ann Fletcher Immunology Laboratory or other collaborating sources. The work performed in the Clinical Systems Biology Group does NOT perform wet lab experiment projects to gather data, rather the data used in our research is gathered elsewhere by our collaborators or is taken from the literature.

Skills required: Students and fellows should possess programming skills in python, C, Octave/Matlab or another programming language, already be familiar with or willing to learn the typesetting language LaTeX, be comfortable with a Linux operating system, and have experience in implementing and solving ordinary and partial differential equation systems or cellular automata/agent-based systems.

More info: If you meet these criteria and would like to learn more about the type of research conducted within our group, please visit the publications and research sections of the website. If you would like more information, please feel free to contact Note that even if the position you are looking for is not currently being advertised, if you are highly qualified and interested, you should still send your contact information.

How to apply: Send your CV (in PDF format) along with the reasons for your interest in working in this area (in PDF format or in the body of the email) via email to with the subject line: Potential CSB Candidate - <Your Name>.


Specific positions currently available

  • Postdoctoral fellow position
  • Ideal candidates will hold a PhD in Computational Biology (bioinformatics, biostatistics, mathematical modeling of biological system), Physics (computational, quantum, particle, theoretical) or Applied Mathematics, possess a solid command of programming (python, octave and/or C, etc.), have an interest in neuroinflammation and neurodegeneration, and have excellent written English skills. No experience with biology is required or expected, although it is a bonus.
  • Graduate (MSc and PhD) student positions
  • Supervision of graduate students performing research at the CSB is M.Sc. students through the Biological Sciences, - Research, or Experimental Psychology graduate programs, or Ph.D. students through the Pharmaceutical Sciences graduate program as well. If you would like to register in a different program at NSU while still working in the CSB lab, please send a request and co-supervision through the Department of your choice can be arranged, within reason. Applications should be received no later than end of July for a September start date, and no later than end of November for a January start date.
  • Undergraduate research assistant positions
  • If your cumulative GPA is above 3/4 and you are interested in the research being conducted in our group and you have programming experience contact Dr. Craddock at to enquire about possible undergraduate research assistantship positions available within the group.

Meet Our Team

Travis Craddock headshot

Travis Craddock, Ph.D.

Director of the Clinical Systems Biology Group

Associate Professor, Department of Psychology & Neuroscience

Associate Professor, Department of Computer Science

Travis J.A. Craddock, Ph.D. is an Associate Professor in the Departments of Psychology & Neuroscience, Computer Science and Clinical Immunology at Nova Southeastern University. He serves as the Director of the Clinical Systems Biology Group at the Institute for Neuro-Immune Medicine where he applies computational systems biology and biophysics methods towards the purpose of identifying novel treatments for complex chronic illness involving neuroinflammation. Dr. Craddock received his Ph.D. in the field of biophysics at the University of Alberta where his graduate research activities focused on subneural biomolecular information processing, nanoscale neuroscience descriptions of memory consciousness, and cognitive dysfunction in neurodegenerative disorders.

Dr. Craddock's current research activities are focused on using a theory driven approach to understand the underlying molecular regulation of chronic illness resulting from exposure to neurotoxins, such as anesthesia and nerve agents, in order to improve diagnosis and putative treatment strategies.

Current areas of academic focus:

  • Cellular information processes and molecular neuroscience
  • Biophysics of neuroinflammatory/neurodegenerative diseases: Alzheimer's, Parkinson's, Gulf War illness (GWI) and myaglic encephalomyelitis/chronic fatigue syndrome (ME/CFS)
  • Systems neurobiology
  • Quantum neurobiology

David Quesada, Ph.D.
Computational Neuroscientist
Associate Professor, College of Psychology

Jonathan Herrera
Research Database Manager

Research Assistants

  • Rill Friedman

Research Volunteers

  • Isadora De Abreu
  • Modeline Jean Pierre
  • Divya Komandooru
  • Nandan Shastry
  • Caleb Siguenza
  • Esha Sultana

Research Highlights

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