Muhammad Ashiq

About Me

Portrait of Muhammad Ashiq

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📄 CV
📧 ashiq [at] wisc [dot] edu

I am a senior undergraduate at the University of Wisconsin-Madison studying mathematics and computer science, working with Prof. Grigoris Chrysos. My research interests are in reliable, private, and secure machine learning and statistics.

In particular, I focus on uncertainty quantification, adversarial/distributional robustness, certified unlearning, and differential privacy. I am especially interested in studying the trustworthiness of methods relevant to robotics (flow-based generative models, reinforcement learning, etc.) and scientific discovery (equivariant networks, neural operators, etc.).

I also work with Yeyu Wang and the Epistemic Analytics lab on learning analytics. Specifically, I work as a software engineer for the ENA webtool and associated R packages (TMA, rENA, etc.). I've also helped apply TransModal Analysis (TMA), a multimodal learning analytics framework, to several projects in clinical simulation, AI-assisted education, and more.

I am currently applying to Ph.D. programs for Fall 2026 and to industry research internships for Summer 2026. Please feel free to reach out if you believe I would be a good fit.

Publications

Machine Learning

  1. M.H. Ashiq, P. Triantafillou, H.Y. Tseng, G.G. Chrysos. Inducing Uncertainty for Test-Time Privacy. In Submission, 2025. [arxiv] [pdf]
  2. L. Zhou, M.H. Ashiq, G.G. Chrysos. Data Augmentations for Arithmetic Length Generalization in Transformers. In Submission, 2025.

Learning Analytics

  1. A. Nguyen, Y. Wang, R. Whitehead, M.H. Ashiq, S. Järvelä, D.W. Shaffer. Examining the Interplay of Gaze and Verbal Interactions in Socially Shared Regulation of Learning: A Transmodal Analysis (TMA) Study. Society for Learning Analytics Research, 2025.
  2. C. Borchers, Y. Wang, S. Karumbaiah, M.H. Ashiq, D.W. Shaffer, V. Aleven. Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms Using Transmodal Ordered Network Analysis. Proceedings of the 14th Learning Analytics and Knowledge Conference, 371–381, 2024.
  3. M.H. Ashiq, M. Shah, A.J. Davis, Y. Wang, B. Eagan, F.A. Jimenez, C.L. Wilson, D.W. Shaffer. Illustrating the Interplay of Behavioral Patterns and Clinical Competencies in a Virtual Patient Simulation Using Epistemic Network Analysis. Proceedings of the 18th International Conference of the Learning Sciences, 2024.
  4. M. Shah, A. Davis, M.H. Ashiq, Y. Wang, B. Eagan, F. Jimenez, C.L. Wilson, D.W. Shaffer. Clinical Judgment, Person-Centered Care and Professionalism: A Transmodal Ordered Network Analysis of Student Performance in Virtual Patient Simulations. Clinical Simulation in Nursing 97, 2024.
  5. Y. Wang, M. Shah, F.A. Jimenez, C. Wilson, M.H. Ashiq, B. Eagan, D.W. Shaffer. Developing Nursing Students’ Practice Readiness with Shadow Health® Digital Clinical Experiences: A Transmodal Analysis. International Conference on Quantitative Ethnography, 365–380, 2023.

Miscellaneous