Guha Balakrishnan

Guha Balakrishnan is an Assistant Professor in the Electrical and Computer Engineering (ECE) department at Rice University, affiliated with the Digital Health Initiative. His research focuses on computer vision, medical imaging, and algorithmic fairness. He holds a BS from the University of Michigan, and MS and PhD from MIT's CSAIL, followed by a postdoc at MIT and industry experience at Amazon Web Services.

Education:

• BS in Computer Science Engineering & Computer Engineering, University of Michigan (2011)
• MS in EECS, MIT (2013)
• PhD in EECS, MIT (2018)
• Postdoc: MIT (2018-2020)
• Applied Scientist: Amazon Web Services (2020-2021)

Research Interests: His work spans generative models for visual data, medical applications (e.g., CT reconstruction, vital sign measurement), geospatial imaging, and ethical AI systems. He emphasizes fairness, accountability, and responsible deployment of vision systems. Recent projects include ALPINE (PyTorch library for implicit neural representations) and the EMACS workshop at CVPR 2025.

Industry Impact: Prior experience at AWS focused on fairness in AI systems. Active in developing tools like Voxelmorph for medical image registration and frameworks like GELDA for dataset bias analysis.

Labs & Teams: Leads efforts in Rice's Digital Health Initiative, focusing on low-cost medical AI solutions and cross-disciplinary collaborations.