Research Group

I am building a research group at the Medical College of Wisconsin focused on computational imaging, Bayesian machine learning, and explainable AI. I welcome motivated students and postdoctoral researchers who are passionate about developing principled computational methods for biomedical applications.

Mentoring History

• Langa Lunga
  Summer Intern, Oak Ridge National Laboratory (2023)
  Project: Adversarial robustness of super-resolution algorithms
• Awroni Bhaduri
  Summer Intern, Oak Ridge National Laboratory (2022)
  Project: Measuring transform invertibility with computational metrics
• Dr. Damian Abasto
  Director, Market Risk, Wells Fargo (2020)
  Mentored on ML model development and validation
• Dr. Biancen Xie
  Quantitative Associate, Wells Fargo (2020)
  Mentored on financial ML applications
• Marcus Paoletti
  Pre-med Student, UC Berkeley (2020)
  Research mentorship in computational imaging
• Maliha Hossein
  PhD Student, Purdue University (2016)
  Undergraduate research in image processing

Join My Group

I am actively recruiting motivated PhD students, postdoctoral researchers, and undergraduate students to join my research group at the Medical College of Wisconsin.

What I Look For

I value students and researchers who:

• Can bridge theory and implementation
• Write clear, well-documented code
• Communicate technical ideas effectively
• Are curious about both mathematical foundations and real-world applications
• Work collaboratively and support their peers

Research Areas

Current and planned research projects include:

• Computational Imaging: MRI reconstruction, super-resolution, inverse problems
• Bayesian Machine Learning: Plug-and-Play methods, Consensus Equilibrium
• Explainable AI: Information geometry, latent space analysis
• Medical Image Analysis: Biomedical informatics, multimodal data fusion
• Privacy-Preserving ML: Secure transforms, federated learning

How to Apply

If you’re interested in joining my group at MCW, please email me at ssreehari [at] mcw [dot] edu with:

1. Your CV and transcript
2. Brief research statement (1 page):
   • What research areas interest you and why
   • Relevant coursework or projects
   • Your career goals
3. Any publications, preprints, or code repositories (if applicable)

For PhD applicants, please also apply through the MCW Graduate School and mention my name in your application.