Experience.A path through research.

Ph.D. Candidate in Biomedical and Health Informatics

University of Wisconsin–Milwaukee

• Dissertation research: interpretable and predictive AI methods using longitudinal electronic health records for clinical risk prediction and decision support.
• GPA: 3.9/4.0.

M.S. in Computer Science

University of Wisconsin–Milwaukee

• Thesis: Medical Image Segmentation Using Machine Learning.
• Deep learning, computer vision, and medical image segmentation for automated wound analysis.
• GPA: 3.6/4.0.

Bachelor of Software Engineering

Tehran Azad University

• Thesis: Fall Detection in Elderly with Smartphones via Machine Learning Techniques.
• GPA: 3.5.

Research Assistant

University of Wisconsin–Milwaukee · Biomedical Data and Language Processing Lab

• Develop predictive models from large-scale longitudinal electronic health record data using machine learning, explainable AI, and large language models.
• Study clinical risk and disease trajectories, including fall risk, pancreatic cancer, and vestibular disorders.
• Design interpretable AI and LLM frameworks for temporal risk-factor discovery and patient-level prediction interpretation.
• Lead computational work spanning cohort design, feature engineering, statistical analysis, model development, and validation.

Engineer I

Medical College of Wisconsin

• Engineered and maintained intracranial electrophysiology recording systems for human epilepsy studies, integrating acquisition hardware, microwire electrodes, and experimental equipment.
• Optimized signal routing, system synchronization, and recording configurations; performed troubleshooting and validation during patient experiments.
• Investigated single-neuron activity and human memory using intracranial recordings and behavioral tasks.
• Developed neural signal-processing and spike-sorting workflows, including artifact removal, spike detection, and clustering.

Doctoral Teaching Assistant / Lecturer

University of Wisconsin–Milwaukee · Big Data & Healthcare Informatics

• Taught undergraduate and graduate coursework in big data and healthcare informatics, including machine learning, analytics, healthcare data, and computational methods.
• Developed lectures, programming assignments, laboratory exercises, and practical data science and AI materials.
• Mentored student research and course projects in programming, machine learning, and biomedical informatics.

Research Data Scientist Intern

Medical College of Wisconsin · Clinical & Translational Science Institute / Rey Lab

• Developed Python methods for spike sorting and single-neuron analysis of human intracranial recordings.
• Implemented and extended WaveClus3 components in Python for spike detection and clustering.
• Developed artifact detection and removal methods and evaluated neuronal unit identification for accuracy and reproducibility.

Project Assistant

University of Wisconsin–Milwaukee · Northwestern Mutual Data Science Institute

• Analyzed enrollment and academic data to characterize participation and trends in data science education.
• Developed and maintained an open-source repository of data science resources and applications across academic disciplines.

NMDSI Student Scholars Award

Northwestern Mutual Data Science Institute

• Award: $7,500.

CTSI Pilot-BERD Methodological Innovation

Research team member

Advancing Healthier Wisconsin

Research team member

Reviewer Award

AMIA Informatics Summit

Graduate Student Travel Award

University of Wisconsin–Milwaukee

• Award: $1,500.

Chancellor’s Graduate Student Award

University of Wisconsin–Milwaukee

• Award: $1,200.

Chancellor’s Graduate Student Award

University of Wisconsin–Milwaukee

• Award: $6,000.