Our Scientific Board, Phoenix Experiment, Partnerships and more!

Dr. Yadong Huang is a globally recognized leader in APOE and Alzheimer disease research based at the Gladstone Institutes and UCSF, known for pioneering work on APOE4-targeted therapies. He joined the Phoenix Scientific Advisory Board to directly advise the Phoenix Experiment, the community most ambitious research project. His involvement adds scientific rigor and credibility to the N-of-Many trial network while keeping recommendations actionable for APOE4 carriers. Huang laboratory has developed APOE4 structure correctors and other candidate interventions that may eventually be tested through Phoenix community-driven trials.

Phoenix negotiated a 20 percent discount at Sequencing.com, which founder Dr. Kevin Tran describes as the best deal the platform offers. Rather than taking an affiliate commission, Phoenix asked Sequencing.com to pass the entire savings directly to members and newsletter readers so the recommendation stays unbiased. Use code THEPHOENIX at checkout to apply the discount. Sequencing.com founder Dr. Brandon Colby, author of Outsmart Your Genes, also joined Phoenix for a live Q&A on whole genome sequencing for APOE4 carriers.

April discussions covered rapamycin protocols, Alpha GPC as a no-regret choline supplement, LPC-DHA (Lysoveta) phospholipid omega-3, Coenzyme Q10 (ubiquinol), MCT oil, psyllium husk for fiber and glucose blunting, and cholesterol medications including statins. Members debated coconut oil and saturated fat, how to track macros and fiber, alcohol in moderation versus abstinence, and intermittent and multi-day fasting. The tactical indulgence concept emerged for foods with a high satisfaction to metabolic damage ratio, helping APOE4 carriers stay adherent to long-term protocols without feeling deprived.

The Phoenix Experiment is the first continuous, community-driven N-of-Many trial network built exclusively for APOE4 carriers. It matches each members wearable data, biomarkers, brain scans, and lifestyle inputs with peers who share similar genetics, environment, and habits to detect what actually works without the noise of averaged population data. Instead of waiting years for traditional trials, Phoenix generates real-time evidence, adapting protocols as new data arrives. The system is structured, personalized, peer-powered, and built with members rather than simply for them.