Summary
Aditya Khanna is an associate professor and computational social scientist with 11 years of experience building biosocial network and agent-based models to inform policies that promote population health equity. His research targets HIV/STI prevention in sexual and gender minority communities, increasing breast cancer screening among African American women, and the complex feedbacks between incarceration, addiction, and health. He combines network analysis and predictive methods to translate model results for academic, governmental, and community stakeholders, and maintains an active publication record and academic web presence. Trained in quantitative ecology and statistics (PhD/MS, University of Washington), he brings an ecological systems perspective to social epidemiology, frequently blending ecological thinking with public health policy modeling. An often-overlooked strength is his sustained track record of moving computational insights into community-engaged interventions and policy-relevant communication.
11 years of coding experience
14 years of employment as a software developer
Ph.D., Quantitative Ecology, Ph.D., Quantitative Ecology at University of Washington
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Moravian College
English, Hindi, Marathi, Portuguese