Andrew J. Aschenbrenner

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About

Andrew J. Aschenbrenner is a leading researcher in cognitive aging and digital health, whose work is reshaping how we assess cognitive decline in real-world settings. His primary research areas include smartphone-based cognitive testing, Alzheimer’s disease detection, and the methodological challenges of remote data collection. Aschenbrenner is best known for his pioneering investigations into the validity and reliability of bring-your-own-device (BYOD) approaches for cognitive assessments. His most-cited paper, "To BYOD or not: Are device latencies important for bring-your-own-device (BYOD) smartphone cognitive testing?" (2022, 24 citations), critically examines how device-level performance differences—such as touchscreen latency—can confound cognitive measurements in remote studies. This work has profound implications for large-scale, decentralized clinical trials, as it highlights the trade-offs between accessibility and data quality. By systematically quantifying these device effects, Aschenbrenner provides essential guidance for researchers designing digital cognitive assessments. His contributions are vital for advancing equitable, scalable tools for early detection of neurodegenerative diseases, ensuring that remote testing remains both rigorous and inclusive.