I joined the Department of Statistics at the University of Manitoba in 2024 as an Assistant Professor. I have recently completed an interdisciplinary Ph.D. in Mathematical and Statistical Modelling from Wilfrid Laurier University (WLU). My Ph.D. dissertation was titled ``Multiscale Modelling of Brain Networks and the Analysis of Dynamic Processes in Neurodegenerative Disorders". Before that, I possess an MSc degree in Applicable Mathematics from the University of Greenwich, London, England.

I have always been fascinated by my mathematical studies and have a flair for the subject. I relish the challenge of problem-solving that mathematics provides. For me, it is an endlessly intriguing subject, as the discipline appears limitless, allowing so much scope for further study and research. My current research expertise is highly multi- and inter-disciplinary and includes vast areas in the field of applied mathematics, statistics, data science, bioinformatics, data analysis, stochastic processes and biostatistical sciences, viz., multiscale modelling of brain networks, hybrid and statistical modelling, data-driven brain networks, neuroscience, machine learning, computational statistics, high dimensional data analysis, and the analysis of dynamic processes in neurodegenerative disorders.


Hina Shaheen,  P.h.D.

Our Lab is dedicated to advancing the understanding and treatment of brain diseases through cutting-edge statistical analysis and computational modelling techniques. At NeuroStats Lab, we harness the power of high-dimensional machine learning algorithms and cloud computing to tackle complex challenges in neuroscience and healthcare. Our research involves developing and optimizing cutting-edge machine-learning techniques capable of handling vast amounts of data. By leveraging cloud computing resources, we accelerate computation and analysis, enabling rapid insights and advancements in understanding brain diseases. Through our interdisciplinary approach, we aim to push the boundaries of knowledge and innovation in the field, ultimately leading to improved diagnosis, treatment, and management of neurological disorders.



  • Shaheen, H., Pal, S., & Melnik, R., 2023. Astrocytic clearance and fragmentation of toxic proteins in Alzheimer’s disease on large-scale brain networks. Physica D: Nonlinear Phenomena, 454,133839. https://doi.org/10.1016/j.physd.2023.133839.

  • Shaheen, H., Pal, S. and Melnik, R., 2022. Multiscale co-simulation of deep brain stimulation with brain networks in neurodegenerative disorders. Brain Multiphysics, 3, p.100058. https://doi.org/10.1016/j.brain.2022.100058

  •  Shaheen H, and Melnik R., 2022. Deep Brain Stimulation with a Computational Model for the Cortex-thalamus-basal- ganglia System and Network Dynamics of Neurological Disorder, Computational and Mathematical Methods, vol. 2022, Article ID 8998150, 17 pages, 2022. https://doi.org/10.1155/2022/8998150

  •  Shaheen, H., Singh, S., Melnik, R., 2021. A Neuron-Glial Model of Exosomal Release in the Onset and Progression of Alzheimer’s Disease. Frontiers in Computational Neuroscience 15, 79. https://doi.org/10.3389/fncom.2021.653097

  • H. Shaheen, R. Melnik, S. Singh, The Alzheimer's Disease Neuroimaging Initiative, Data-driven stochastic model for quantifying the interplay between amyloid-beta and calcium levels in Alzheimer's disease, Stat. Anal. Data Min.: ASA Data Sci. J. 17 (2024), e11679. https://doi.org/10.1002/sam.11679

  • Shaheen H, Melnik, R., 2023. Bayesian inference and role of astrocytes on amyloid-beta growth in modelling of Alzheimer's disease using clinical data, submitted (under review), Computational Statistics and Data Analysis, Elsevier.

  • Pal, S., Shaheen, H., Melnik, R., 2022. The Influence of Amyloid- Beta on Calcium Dynamics in Alzheimer’s Disease: A Spatio- Temporal Study. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C. (eds) Computational Science and Its Applications – ICCSA 2022 Workshops. ICCSA 2022. Lecture Notes in Computer Science, vol 13377. Springer, Cham. https://doi.org/10.1007/978-3-031-10536-4_21

  • Shaheen, H., Singh, S., Melnik, R., 2022. Mathematical Modeling of Calcium-Mediated Exosomal Dynamics in Neural Cells. In: Lacarbonara, W., Balachandran, B., Leamy, M.J., Ma, J., Tenreiro Machado, J.A., Stepan, G. (eds) Advances in Nonlinear Dynamics. NODYCON Conference Proceedings Series. Springer, Cham. https://doi.org/10.1007/978-3- 030-81170-9_8

  •  Shaheen, H., Melnik, R., Singh, S., 2021. Analysis of Cortical Spreading Depression in Brain with Multiscale Mathematical Models. In: Kilgour, D.M., Kunze, H., Makarov, R., Melnik, R., Wang, X. (eds) Recent Developments in Mathematical, Statistical and Computational Sciences. AMMCS 2019. Springer Proceedings in Mathematics & Statistics, vol 343. Springer, Cham. https://doi.org/10.1007/978-3-030-63591-6_19

  • Shaheen H. " Analysis of Cortical Spreading Depression in Brain withMultiscale Mathematical Models." (August 21, 2019, Waterloo, Canada), The Vth International AMMCS Interdisciplinary Conference,Book of Abstracts, 2019, p. 325, ISBN 978-0-9918856-3-3,

  •  Shaheen H. Deep brain stimulation with a computational model for the cortex-thalamus-basal-ganglia system and network dynamics of neurological disorder”, (July 27, 2021, Barcelo, Spain), 21st International Conference on Computational and Mathematical Methods in Science and Engineering,

  • Shaheen, H. “Mathematical modelling of calcium-mediated exosomal dynamics in neural cells.” The Second International Nonlinear Dynamics Conference, Rome Italy, Book of Abstracts, 2021,

  • Shaheen H. “Multiscale Modelling of Brain Networks and the Analysisof Dynamic Processes in Neurogenerative Disorders”, July 2021, Wilfrid Laurier University, Ontario, Canada, Ph.D. Math Research Symposium

  • Shaheen H. “Multiscale modelling of brain network with the influenceof deep brain stimulation”, 13th Conference on Dynamical Systems Applied to Biology and Natural Sciences Virtual DSABNS, February 8-11, 2022, Barcelo, Spain.

  • Shaheen H. " Interplay between Amyloid-beta and Calcium Dynamics in Alzheimer’s Disease: A Physics-Informed Bayesian Approach”, The VIth International AMMCS Interdisciplinary Conference Waterloo, Ontario, Canada, Book of Abstracts, 2023.


Current Projects

Cutting-edge Research

Exploring the Complexity of Brain Diseases

Innovative Solutions

Developing Insights for Improved Patient Outcomes

Collaborative Research

Advancing the Understanding of the Brain's Intricacies

Tackling Complex Challenges in Neuroscience and Healthcare

Enhancing Patient Care

Personalized medicine decision support systems

We integrate AI in biomedical diagnostics and treatment optimization to provide intelligent decision support systems for personalized medicine.