Scholar
Shahan Ali Memon
Google Scholar ID: mZ1mjVsAAAAJ
PhD Candidate at University of Washington (previously at Carnegie Mellon and New York University)
Citations & Impact
Citations
489
H-index
11
i10-index
11
Publications
20
Co-authors
26
list available
Publications
Resume (English only)
Academic Achievements
- Published a paper on a speculative design methodology for studying the behavior of generative AI systems, which was accepted to the CHI 2025 Workshop on Human-centered Evaluation and Auditing of Language Models (HEAL).
Research Experience
- Worked as a Research Associate at New York University Abu Dhabi, collaborating with Bedoor AlShebli, Kinga R. Makovi, Talal Rahwan, and Wifag Adnan on several important projects in the field of Science of Science.
Education
- PhD: Information School at University of Washington, advised by Jevin D. West; Master's: Language Technologies Institute (LTI) at Carnegie Mellon University, mentored by Bhiksha Raj and Rita Singh; Master's thesis supervised by Kathleen M. Carley and David R. Mortensen; Bachelor's: Computer Science from Carnegie Mellon University in Qatar, mentored by Ingmar Weber and Saquib Razak.
Background
- Research interests include computational social science, the application of AI in scientific research, scientific collaboration, AI alignment, and ethics. He focuses on how AI is changing the institution of science and whether AI can autonomously conduct scientific research. He is also interested in scientific collaboration, believing that teamwork and diverse perspectives are key drivers of innovation in science.
Miscellany
- Open to collaboration and discussions, and welcomes prospective PhD applicants, especially those from underrepresented backgrounds, to reach out about the application process or PhD experience.
