Ongoing Ph.D. Research
Illinois Institute of Technology — Ph.D. Research
Under Writing
Research on causal reasoning mechanisms in AI systems, investigating how causal structure can be leveraged for more robust and interpretable models.
Illinois Institute of Technology — Ph.D. Research
Submitted to NeurIPS 2026
Formal treatment of memory read/write operations in large language models as causal interventions, providing a theoretical framework for understanding and controlling LLM memory behavior.
Illinois Institute of Technology — Ph.D. Research
Submitted to NeurIPS 2026
Developed a structure-agnostic approach to causal representation learning for mixed domains, advancing beyond methods that require knowledge of the causal graph structure.
Full-time Internship
Research internship focused on developing Graph Neural Network methodologies for clinical applications in Alzheimer's disease research.
Key Contributions:
Developed causal explanation framework for Mild Cognitive Impairment progression using GNNs • Collaborated with world-renowned expert Dr. Ronald C. Petersen • Published research findings at IEEE BIBM 2024 • Applied temporal patient data analysis including chronic diseases, biomarkers, and genetic information
Illinois Institute of Technology, Department of Computer Science
Graduate Assistantship
Supporting undergraduate and graduate courses through grading, mentoring, and educational assistance.
Courses Supported:
CS401: Introduction to Data Structures (Java) • CS484: Machine Learning • CS528: Data Privacy and Security • Programming assignments evaluation and final project assessment • Student mentoring and office hours
Editorial Service
Contributing to peer review process and editorial decisions for interdisciplinary research at the intersection of lifestyle medicine and data science.
Responsibilities:
Manuscript review and evaluation • Editorial oversight for AI/ML applications in healthcare • Contributing expertise in computational approaches to lifestyle medicine research
Jahad-Daneshgahi, Tehran, Iran
Contract Position
Founded and delivered Iran's first comprehensive Deep Learning/Neural Network educational program, pioneering AI education in the region.
Teaching Portfolio:
200+ hours of instruction in Machine Learning and Data Mining • Python and R programming languages • Curriculum development for emerging AI technologies • Student mentorship and career guidance
10th Midwest Security Workshop — Indiana University
2024 NSF TRIPODS Workshop — Toyota Technological Institute at Chicago
9th Midwest Security Workshop — Purdue University
NSF Site Visit (IDEAL) & IDEAL Workshop on Inference in High Dimensions — Northwestern University