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Portfolio

The Redox Systems Biology Lab - Kemp

Biomedical Informatics and Systems Modeling

Biomedical Informatics and Systems Modeling covers a diverse field at the intersection of computational science, biology and medicine. The overarching goal is to develop machine learning and artificial intelligence methods, mechanistic models, and simulations to describe observed biological phenomena and data, derive new biological insights, and ultimately translate to impacts on scientific discoveries, human health, and patient care. The field uses methodologies in computer science, statistics, electrical engineering, and informatics to integrate experimental and clinical data, derive knowledge, and make actionable decisions. Typical applications include bioinformatics, systems biology, clinical informatics, computational neuroscience, image analysis, precision medicine, and immunoengineering, all of which are highly synergistic to other research areas in the department. 

Core Competencies

  • Bioinformatics
  • Biostatistics
  • Machine Learning and Artificial intelligence
  • Systems and Computational Biology
  • Systems Physiology
  • Networks and Graphs Modeling
  • Big Data Analytics
  • Complex Biomedical Data Integration
  • Computational Neuroscience
  • Dynamics Modeling in Immunology
  • Clinical Informatics
  • Public Health Informatics
  • Imaging Informatics
  • High-performance and Distributed computing
  • Text mining and Natural Language Processing
  • Wearable Devices and Mobile Health

Latest News on Biomedical Informatics and Systems Modeling research

Saurabh Sinha headshot
Saurabh Sinha Joins Coulter BME Faculty

The now-familiar SARS-CoV-2 virus, with the spike protein on the outside that allows the virus to infect host cells. New research is presenting evidence that recovery from a Covid-19 infection depends not just on antibodies targeting the spike protein and other surface proteins but also on antibodies that target the virus’s internal proteins. (Image: iStock)
Beyond the Spike: New Antibody Analysis Predicts Severe Covid-19 Outcomes

Peng Qiu
Qiu Secures $2.8M from the Helmsley Charitable Trust for Long-Term Crohn’s Disease Study

Cell signaling at work.
Coskun Gets Pilot Grant from SPORE to Study Cell Signaling in Lung Cancer

Denis Tsygankov sitting in his lab
Probing the Undead to Understand the Aging Process

Melissa Kemp and Josh Lewis (Photo: Joshua Stewart)
Targeting Radiation Resistance: Why Some Tumors Are So Stubborn

Kemp lab uses genome-scale modeling to understand tumor metabolism and predict tumors’ responses to radiation therapy

May Wang with a laptop showing some of her data.
Georgia Tech and Shriners Collaborate on Research Data Resources

BME's May Wang leading three of the seven projects in new initiative to improve lives of pediatric patients

Illustration of a coronavirus against the backdrop of computer code. The code is clear in the center of the virus and spreads outward out of focus. (Illustration: Joshua Stewart; Computer Code Image via Negative Space via Pexels.)
Covid Seed Grant Yields Data Mining Discoveries

Undergraduate researchers help Cassie Mitchell turn millions of studies into actionable insight