Academic Experience

Causal AI Memory

Feb 2026 – Present
Illinois Institute of Technology — Ph.D. Research
Under Writing
Research on AI Memory Operations in Large Language Models, investigating causal mechanisms underlying memory storage and retrieval in LLMs.

Structure-Agnostic Representation Learning

Mar 2025 – Jan 2026
Illinois Institute of Technology — Ph.D. Research
Submitted to ICML 2026
Developed a structure-agnostic approach to causal representation learning for mixed domains, advancing beyond methods that require knowledge of the causal graph structure.

Peer Reviewer

Top-tier AI Conferences

AI Research Scientist

May 2024 - Aug 2024
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

Teaching Assistant

Jan 2023 - Present
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 Board Member

Sep 2022 - Present
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

Peer Reviewer

Jan 2022 - Present
Journals
Review Service

Data Science Lecturer

Nov 2018 - Nov 2019
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

Honors & Awards

Paper Lightning Talk & Poster Presentation

Sep 22, 2025
10th Midwest Security Workshop — Indiana University

Paper Lightning Talk & Poster Presentation

Dec 7, 2024
2024 NSF TRIPODS Workshop — Toyota Technological Institute at Chicago

Paper Lightning Talk & Poster Presentation

Nov 16, 2024
9th Midwest Security Workshop — Purdue University

Poster Presentation

Oct 2023 · Sep 2024 · Oct 2025
NSF Site Visit (IDEAL) & IDEAL Workshop on Inference in High Dimensions — Northwestern University