About Me
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📧 mashiq [at] umich [dot] edu
Hello! I am an EECS Ph.D. student at the University of Michigan in the DeepThink Lab, advised by Qing Qu and working closely with Ismail Alkhouri at Los Alamos National Laboratory. I am thankful to be supported by the NSF GRFP.
My research interests are in scientific ML, trustworthy ML, and applied mathematics. I currently work on:
- Designing reliable generative methods for inverse problems and filtering in dynamical systems.
- Understanding and controlling the failure modes of generative models.
I am especially interested in the interactions between these two directions. For example, how can studying diffusion models for filtering reveal new insights into designing safe ML systems? Conversely, how can insights from trustworthy ML improve filtering algorithms? Separately, I am interested in high-performance computing.
Before that, I studied math and CS at UW-Madison, working with Grigorios Chrysos on trustworthy ML. I also worked with Yeyu Wang and the Epistemic Analytics lab on learning analytics.
