Dr. Sarah Chen

Professional Background

Dr. Chen earned her PhD in Cognitive Neuroscience from Stanford University, where she studied under leading neuroplasticity researchers. Her doctoral research focused on the neural mechanisms of working memory training in adults aged 25-65, contributing to the growing body of evidence that targeted cognitive exercises can strengthen neural pathways at any age.

Prior to joining Supertos, Dr. Chen spent eight years in academic research, publishing studies on memory consolidation, attention training, and the effects of computerized cognitive training on everyday cognitive performance. Her work has been cited in major publications including the Journal of Cognitive Enhancement, Neuropsychologia, and Frontiers in Aging Neuroscience.

At Supertos, Dr. Chen oversees the scientific foundation of all 49 brain training games in the BrainGym AI platform, ensuring each exercise targets specific cognitive domains with evidence-based protocols. She also designed the adaptive difficulty algorithms and AI coaching system that personalizes training plans for individual users.

Areas of Expertise

• Adult Neuroplasticity - How the adult brain adapts and strengthens through targeted training
• Working Memory Training - Evidence-based protocols for improving working memory capacity
• Processing Speed - Training methods that improve information processing (building on the ACTIVE study findings)
• Cognitive Assessment - Brain age measurement and cognitive domain profiling
• AI-Powered Training - Machine learning approaches to personalizing brain training difficulty and content
• Memory Improvement - Techniques including spaced repetition, retrieval practice, and mnemonic strategies
• Attention & Focus - Sustained attention training for working professionals

Research Contributions

Dr. Chen's research at Supertos builds on landmark studies in the field, including:

• ACTIVE Study Analysis - Contributed to secondary analysis of the 2,832-participant, 10-year ACTIVE study showing 29% reduced dementia risk from processing speed training (Edwards et al., 2017)
• Working Memory Meta-Analysis - Co-authored review of 87 studies finding moderate-to-large effects of working memory training (effect size d=0.65)
• Adaptive Training Protocols - Developed the evidence-based adaptive difficulty system used in BrainGym AI, which adjusts in real-time based on user performance
• Brain Age Validation - Created and validated the cognitive assessment methodology used to calculate brain age in the Supertos platform

Articles by Dr. Sarah Chen

Research Resources

Content Hubs Curated by Dr. Chen

Last Updated: March 2026