Hey there! I am a second-year PhD student at Aalto University, Finland, where I work with Prof. Simo Särkkä. I’m broadly interested in probabilistic machine learning (ML) methods and adding inductive biases to ML models, and I enjoy developing and applying Bayesian inference techniques for applications in physical/dynamical systems. Specific research areas that I work on as part of my PhD include Bayesian experimental design and probabilistic solvers for differential equations.
For academic details, see my resume. For research-related queries, I can be contacted at sahel[dot]iqbal[at]aalto[dot]fi.
Outside work, you’re likely to find me at the gym, tinkering with various open source Haskell projects, or reading about politics. I also write occasionally, and a couple of articles that I wrote a while ago are available on a website that I built called The Student Watch.
Featured Publications
- Sahel Iqbal, Hany Abdulsamad, Sara Pérez-Vieites, Simo Särkkä, Adrien Corenflos (2024). Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design. NeurIPS workshop on Bayesian Decision-making and Uncertainty. arXiv. Code.
- Sahel Iqbal, Adrien Corenflos, Simo Särkkä, Hany Abdulsamad (2024). Nesting Particle Filters for Experimental Design in Dynamical Systems. ICML. arXiv. Code.
- Sahel Iqbal, Hany Abdulsamad, Tripp Cator, Ulisses Braga-Neto, Simo Särkkä (2024). Parallel-in-Time Probabilistic Solutions for Time-Dependent Nonlinear Partial Differential Equations. IEEE MLSP. Link. Code.
- Sahel Iqbal, Subhankar Mishra (2023). Neural Networks at a Fraction with Pruned Quaternions. International Conference on Data Science & Management of Data. Link. Code.