I’m pleased to share our latest publication in the Journal of Biological Rhythms, titled “Circadian phase estimation from ambulatory wearables with particle filtering: accuracy depends on initialization, recording duration, and light exposure.” This work tackles a practical challenge in translating circadian models from the laboratory to real-world wearable sensors data: how do you get reliable estimates circadian phase when you don’t know the starting phase?

I’m pleased to share our latest publication in PNAS, titled “Circadian-Informed Modeling Predicts Regional Variation in Obesity and Stroke Outcomes Under Different Permanent US Time Policies,” where we used the latest circadian models paired with data from the CDC to examine the health impact of permanent Standard Time, permanent Daylight Saving Time, and our current policy of switching between the two.