The faculty at Meharry SACS are leveraging artificial intelligence, machine learning and other data science techniques to address health disparities and improve health care for all communities. At the same time, we work to ensure the algorithms behind these cutting-edge technologies are trustworthy and transparent.

We apply our research in impactful areas such as computational biology, cybersecurity, drug repurposing, predicting cancer and other health risks, genomics, clinical trials, wearable devices, geographic information systems, and population health informatics. This research also informs the classroom experience as our research labs are tied to the classroom, supporting a practical approach to learning that is important to the School’s curriculum.

We also collaborate with our colleagues across Meharry Medical College as well as investigators from other institutions and members of the health care, tech and business communities. By working together to provide solutions to society’s great challenges and in particular a transformative education, we continue to make a positive impact on our communities and the sciences.

Aize Cao

Cao receives $2.2 million grant to support maternal health care for underserved women with SUD

Aize Cao, Ph.D., receives 2.2 million grant to receives $2.2 million HRSA grant to develop a comprehensive data analytics infrastructure model to support maternal health care for underserved women with substance use disorders.

data science academics and research

Ghosh and Shillingford paper awarded at International Internet of Things Conference

Uttam Ghosh,Ph.D., associate professor of cybersecurity, and Nadine Shillingford, Ph.D. chair and associate professor, computer science and data science, received Third Place, Best Paper in the Full Paper category at the Sixth IFIP International Internet of Things Conference.

Vibhuti Gupta, Ph.D.

Gupta $1.2 million AIM AHEAD grant to fund multimodal prostate cancer risk prediction and address health disparities

Vibhuti Gupta, Ph.D., received a $1.2 million AIM AHEAD grant to leverage artificial intelligence and machine learning to develop a multimodal framework for prostate cancer risk prediction and address health disparities.

data science academics and research

Stanford-Elsevier ranking of top 2% cited researchers includes Dr. Uttam Ghosh

Uttam Ghosh, Ph.D., associate professor of cybersecurity, is listed in the Stanford-Elsevier list of the world’s most-cited scholars, placing him among the top two percent of cited scientists.

Student research

We emphasize a practical approach to learning. Our students engage in individual and group projects using real-world data. In addition to master’s program capstone project and the doctoral dissertation, students can apply for research assistant positions where they will gain valuable experience work closely with faculty on a project.

Taylor Gibbs feature image

Biomedical Data Science Ph.D. students, Gibbs and Taylor, publish abstract

Gregory Gibbs and Loni Taylor, students in the Meharry SACS Biomedical Data Science Ph.D. program, have published an abstract in the BMC proceedings of the 4th National Big Data Health Science Conference, 2023.

NIH R25 scholars

Meharry SACS announces NIH R25 Scholars for Summer 2023

Aleesa Mann, Ndidiamaka Obi, Bradford Patton and Noah Whittenbarger are the Summer 2023 NIH R25 Scholars for Meharry School of Applied Computational Sciences (SACS). Scholars will spend 10 weeks, starting May 30, participating in summer training and research with a faculty mentor.

Capstone projects

The capstone is the culminating project for each student in the M.S. Data Science and M.S. Biomedical Data Science programs. The comprehensive, real-life industry-type projects are oriented toward the student’s domain of interest.

Each capstone project includes:

  • formulation of a question to be answered by the data;
  • collection, cleaning and processing of data;
  • choosing and applying a suitable model and/or analytic method to the problem; and
  • communicating the results to a non-technical audience.

Research Labs

Our research takes place in computer labs built to reflect faculty interests and strengths.


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Our Research and Development faculty apply big data techniques to addressing COVID-19, improving patient care, understanding health inequities and other complex health care issues.