Pradeep Reddy Raamana

  • Assistant Professor, Radiology and Biomedical Informatics

Labs

At the new Open minds in Machine learning, INformatics and Data Science (MINDS) lab (follow us at @OpenMindsLab), we aim to solve high-impact biomedical challenges leveraging our expertise in medical image analysis, signal processing, machine learning, biostatistics and data science. With a preference for cost-effective and clinically optimal solutions, we seek to improve patient outcomes with novel multidisciplinary techniques and decision support systems via quality, reproducible, and open science.

We are looking for multiple passionate team members, at various levels including postdocs, research software engineers, or related variations.

Few projects we will be pursuing include but not limited to:

  • Development of multimodal imaging biomarkers, targeting high-impact applications from early detection of Alzheimer’s disease and differential diagnosis to predicting response to treatment in Major Depression,
  • Development of standards for biomarker performance evaluation,
  • Quality control protocols for neuroimaging data (niQC),
  • Development of various other techniques and tools to achieve the above objectives, including multi-site data harmonization, conquering confounds in predictive analysis, advancing machine learning techniques for multimodal analysis (such as kernel methods, graph kernels and multiple kernel learning) and many others.

In the heart of School of Medicine, you will have the opportunity to solve some fundamental challenges at the intersection of machine learning, biomarkers, neuroimaging and informatics. Projects at the Open Minds lab will help you develop and hone skills that are highly employable as well as highly transferable to multiple domains in the academy and the industry.

Institution of Highest Degree

  • Bachelor's of Science in Mathematics, Physics, and Computer Science, Sri Venkateswara University
  • Master's of Science in Physics, Indian Institute of Technology, Madras
  • PhD, Biomedical Engineering, Simon Frasier University

Research Interests

neuroimaging, machine learning, image processing, confounds, informatics, open science, and brain disorders