Hi, I'm Masoud
Ph.D. Candidate @ University of Wisconsin-Milwaukee | Engineer I @ Medical College of Wisconsin
Research & Expertise
I am a computational scientist and Ph.D. candidate in Biomedical and Health Informatics at the University of Wisconsin-Milwaukee, with expertise in hybrid simulation-ML frameworks, patient-specific digital twins, and explainable AI for clinical decision support. I also serve as Engineer I at the Medical College of Wisconsin ReyLab, where I investigate mechanisms of human episodic memory and advance epilepsy diagnosis through real-time neural analysis pipelines.
My research combines agent-based modeling, discrete-event simulation, transformer architectures, and large language models to tackle disease trajectory prediction, risk stratification, and intervention evaluation. I am the lead developer of MCWs (MicroWire sorter), an open-source spike-sorting framework for human intracerebral recordings.
Research Interests:
- Medical Modeling & Simulation — Agent-based models, discrete-event simulation, and hybrid ML-simulation for clinical decision support
- Digital Twins for Healthcare — Patient-specific modeling, real-time risk stratification, and dynamic “what-if” scenario analysis
- Large Language Models in Medicine — Clinical text understanding, synthetic data generation, RAG, and safety evaluation
- Responsible AI — Explainability (SHAP, LIME, attention), fairness assessment, and stakeholder-centered design
My work is supported by NIH-funded projects and recognized with the NMDSI Student Scholars Award ($7,500), Chancellor’s Graduate Student Awards ($8,500 total), and the AMIA Best Reviewer Award (2024). I have contributed to 23+ publications across academic medical centers and multi-institutional research networks.
Latest News
| Feb 8, 2026 | Our paper “User-Centered Explainable AI in Healthcare: A Literature Review” has been submitted to ACM Computing Surveys. 📝 |
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| Feb 1, 2026 | Our paper “Sequential Pattern Transformer (SPT): A generative and interpretable framework for predicting disease trajectories” was published in Neural Computing and Applications! Read it here. 🧬 |
| Feb 1, 2026 | Our paper “Explainable AI reveals temporal risk pathways in fall prediction” was published in GeroScience! Read it here. 🎉 |
| Feb 1, 2025 | Our paper “The Impact of Socioeconomic Factors on Pancreatic Cancer Care Utilization” was published in PLOS One. Read it here. 📄 |
| Jan 21, 2025 | Our Research paper "Risk Prediction and Interpretation for Fall Events Using Explainable AI and Large Language Models", was accepted at International Conference on Medical and Health Informatics (ICMHI 2025) conference. |
| Jan 15, 2025 | Our preprint “MCWs (MicroWire sorter): A New Framework for Automated and Reliable Spike Sorting in Human Intracerebral Recordings” is now available on bioRxiv. Read the preprint. 🧠 |
| Nov 24, 2024 | Our paper titled “Advancing personalized healthcare: leveraging explainable AI for BPPV risk assessment” got published in Health Information Science and Systems. |
| Sep 1, 2024 | Awarded the NMDSI Student Scholars Award ($7,500) from the Northwestern Mutual Data Science Institute for 2024–2025 academic year. 🎉 |
| May 1, 2024 | Received the Chancellor’s Graduate Student Award ($2,500) and Graduate Student Travel Award ($1,500) at UWM. 🎓 |
Selected Publications
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User-Centered Explainable AI in Healthcare: A Literature ReviewACM Computing Surveys, 2026Under review (submitted Feb 8, 2026) -
Risk Prediction and Interpretation for Fall Events Using Explainable AI and Large Language ModelsIn Proceedings of the 2025 9th International Conference on Medical and Health Informatics (ICMHI ’25), 2025
Let's Collaborate
Feel free to reach out via email at khanim@uwm.edu. I'm always open to discussing research collaborations, particularly in medical AI, digital twins, and healthcare simulation.