Scholar
Adam Visokay
Google Scholar ID: V_5uLBMAAAAJ
University of Washington
Citations & Impact
Citations
13
H-index
2
i10-index
0
Publications
8
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- - Papers featured in EMNLP and COLM
- - Presented research on Inference with Predicted Data at the American Sociological Association in Chicago, IL
- - Presented research on obesity conceptualization and measurement at the American Sociological Association in Chicago, IL
- - Presented research on using LLMs to study Federal Reserve meeting text on a panel hosted by Wolfe Research
- - Demo'ing a new project at the Allen School - Microsoft Research Summer Bash in Seattle
- - Poster presentation at the 75th Anniversary Event for UW CSDE
- - Gave a guest lecture on 'Artificial Intelligence' for SOC 270 Social Problems at the University of Washington, Seattle
- - Presented research on Inference with Predicted Data at a Tech Talk for Elder Research in Arlington, VA
- - Presented research on mortality estimation with LLMs in the 'Machine Learning Approaches in Mortality Research' session at PAA 2025 in Washington, D.C.
- - Presented research on obesity measurement in the 'Obesity, Behavior, and Novel Weight-Loss Medications' session at PAA 2025 in Washington, D.C.
- - Presented research at the 2024 Annual Academy at the Max Planck Institute for Demographic Research in Rostock, Germany
- - Invited talk at the UW Data Science Seminar in Seattle, WA
- - Invited talk at the UW Computational Demography Working Group in Seattle, WA
- - Invited talk at the Fred Hutchinson Deep Learning seminar
Research Experience
- - Graduate Research Assistant, University of Washington, Seattle (2023-present)
- - Pre-doc Research Assistant, University of Washington, Seattle (2022-2023)
- - Pre-doc Research Assistant, Sciences Po, Paris (Remote, Summer 2021)
Education
- - PhD in Sociology, University of Washington (2023-present), advised by Professor Tyler McCormick and Professor Sasha Johfre
- - Affiliated PhD Student, Max Planck Institute (MPIDR) (2024-present)
- - MA in Sociology, University of Washington (2024)
- - MA in Economics, Syracuse University (2017)
- - BA in Economics & History, University of Virginia (2016)
Background
- Social Scientist, with research interests in leveraging artificial intelligence and machine learning to study social phenomena, particularly in public health, economics, and sociology. Particularly interested in valid statistical inference using predictions from black box algorithms and effectively using AI/ML methods in a transparent and socially grounded manner.
Miscellany
- Contact: avisokay@uw.edu or find him on Strava 🏃!
