Summary
Adam Pah is a scientist and research leader with 12 years of experience at the intersection of data science, computational social science, and network analysis, currently serving as Assistant Dean of Research and Digital Innovation at Georgia State University. He studies diffusion of innovations in workplace and healthcare networks, combining experiments, computational modeling, and privacy-preserving inter-institutional data engineering to understand how techniques and treatments spread among highly trained professionals. Adam has built and led interdisciplinary data engineering teams, co-founded the NSF-funded SCALES Open Knowledge Network for court-record transparency, and taught AI to business leaders—bridging rigorous research with practical institutional impact. His background in biological systems modeling informs a long-standing interest in predicting rare events and handling missing information across domains. He also runs a technical blog on NoSQL, Big Data, Python, and academia, reflecting a commitment to translating methods into accessible tools and training. Based in Atlanta, he blends academic scholarship, operational research administration, and hands-on software development to advance policy analytics, data ethics, and open science.
12 years of coding experience
14 years of employment as a software developer
BS, Molecular Biosciences and Biotechnology, BS, Molecular Biosciences and Biotechnology at Arizona State University
PhD, Biological Sciences, PhD, Biological Sciences at Northwestern University
spanish (reading and listening)