Hello! You've found Markus Hauru. I'm doing things, such as ├─ Working at the Alan Turing Institute as a Senior Research Data Scientist/Software Engineer, developing the Turing.jl probabilistic programming language. │ └─ ??? Feel free to contact me at markus@mhauru.org. Things I've gotten done: ├─ Contributions to various open source scientific software projects. │ ├─ Work on Turing.jl │ │ │ ├─ Work on two digital twin projects: DTBase and CROP │ │ │ ├─ Work on a synthetic data generation tool with differential privacy features. │ │ │ └─ Libraries for various tensor network methods and algorithms, such as MERA, Gilt-TNR, and others: 1, 2, 3 │ ├─ An interactive probabilistic calculator comparing the finances of renting vs buying a home. │ ├─ A web-based musical instrument in just intonation tuning. │ ├─ My PhD thesis (UWaterloo/Perimeter Institute, 2018), which is really nothing but a collection of my publications (below) with an introduction. │ ├─ My Master's thesis (U of Helsinki, 2014), on MERA. │ ├─ Some fun analyses of public datasets: │ ├─ Predicting usage of Boris Bikes from seasonal trends and weather data │ │ github.com/mhauru/boris-bike-forecast. │ │ │ └─ Exploratory data analysis of the EThOS data set of UK PhD thesis metadata │ github.com/mhauru/EThOS-analysis. │ └─ Academic publications, mostly but not exclusively on quantum physics and numerial simulation thereof: ├─ T.E. Fjelde, K. Xu, D. Widmann, M. Tarek, C. Pfiffer, M. Trapp, S.D. Axen, X. Sun, M. Hauru, P. Yong, W. Tebbutt, Z. Ghahramani, H. Ge │ Turing.jl: a general-purpose probabilistic programming language, │ 2025, doi.org/10.1145/3711897. │ ├─ R. Ward, R. Choudary, M. Jans Singh, F. Roumpani, T. Lazauskas, M. Yong, N. Barlow, M. Hauru │ The challenges of using live-streamed data in a predictive digital twin, │ 2022, doi.org/10.1080/19401493.2023.2187463. │ ├─ M. Ganahl, J. Beall, M. Hauru, A.G.M. Lewis, J. Hyeon Yoo, Y. Zou, G. Vidal │ Density Matrix Renormalization Group with Tensor Processing Units, │ 2022, arXiv: 2204.05693. │ ├─ R. Shillito, A. Petrescu, J. Cohen, J. Beall, M. Hauru, M. Ganahl, A.G.M. Lewis, G. Vidal, A. Blais │ Dynamics of transmon ionization, │ 2022, arXiv: 2203.11235. │ ├─ R. Pederson, J. Kozlowski, R. Song, J. Beall, M. Ganahl, M. Hauru, A.G.M. Lewis, Y. Yao, S. Basu Mallick, V. Blum, G. Vidal │ Large scale quantum chemistry with Tensor Processing Units, │ 2022, arXiv: 2202.01255. │ ├─ A.G.M. Lewis, J. Beall, M. Ganahl, M. Hauru, S. Basu Mallick, G. Vidal │ Large scale distributed linear algebra with Tensor Processing Units, │ 2021, arXiv: 2112.09017. │ ├─ M. Hauru, A. Morningstar, J. Beall, M. Ganahl, A.G.M. Lewis, G. Vidal │ Simulation of quantum physics with Tensor Processing Units: brute-force computation of ground states and time evolution │ 2021, arXiv: 2111.10466. │ ├─ A. Morningstar, M. Hauru, J. Beall, M. Ganahl, A.G.M. Lewis, V. Khemani, G. Vidal │ Simulation of quantum many-body dynamics with Tensor Processing Units: Floquet prethermalization, │ 2021, arXiv: 2111.08044. │ ├─ M. Hauru, M. Van Damme, J. Haegeman │ Riemannian optimization of isometric tensor networks, │ 2020, arXiv: 2007.03638. │ ├─ K. Van Acoleyen, A. Hallam, M. Bal, M. Hauru, J. Haegeman, F. Verstraete │ Entanglement compression in scale space: from the multiscale entanglement renormalization ansatz to matrix product operators, │ 2019, arXiv: 1912.10572. │ ├─ M. Hauru, G. Vidal │ Uhlmann fidelities from tensor networks, │ 2018, arXiv: 1807.01640. │ ├─ M. Hauru, C. Delcamp, S. Mizera │ Renormalization of tensor networks using graph independent local truncations, │ 2017, arXiv: 1709.07460. │ ├─ M. Hauru, G. Evenbly, W. W. Ho, D. Gaiotto, G. Vidal │ Topological conformal defects with tensor networks, │ 2015, arXiv: 1512.03846. │ └─ LHC Higgs Cross Section Working Group: S. Dittmaier, C. Mariotti, G. Passarino et al. Handbook of LHC Higgs Cross Sections: 2. Differential Distributions, 2012, arxiv: 1201.3084. I last updated this page on 2025-07-13.