Daniel Forger, The mathematics of the wearables with applications to circadian rhythms and sleep

ZOOM ID: 709 120 4849 (ibsbimag)

This talk will be presented online. Zoom link: 709 120 4849 (pw: 1234) Abstract: Millions of individuals track their steps, heart rate, and other physiological signals through wearables. This data scale is unprecedented; I will describe several of our apps and ongoing studies, each of which collects wearable and mobile data from thousands of users,

Livestream

Dynamics-based data science in biology

ZOOM ID: 709 120 4849 (ibsbimag)

This talk will be presented online. Zoom link: 709 120 4849 (pw: 1234) Abstract: Life science has been a prosperous subject for a long time, and is still developing with high speed now. One of its major aims is to study the mechanisms of various biological processes on the basis of biological big-data. Many statistics-based

Livestream

Advice to my younger self

ZOOM ID: 709 120 4849 (ibsbimag)

This talk will be presented online. Zoom link: 709 120 4849 (pw: 1234) Facebook live streaming: https://www.facebook.com/10226475900150025/videos/10226475902790091 Age brings the benefit of experience and looking back at my job as a professor, there are a couple of things that fall into the category “I wish someone had told me that earlier”. In this seminar, I

Livestream

Neural network aided approximation and parameter inference of stochastic models of gene expression

ZOOM ID: 709 120 4849 (ibsbimag)

This talk will be presented online. Zoom link: 709 120 4849 (pw: 1234) Abstract: Non-Markov models of stochastic biochemical kinetics often incorporate explicit time delays to effectively model large numbers of intermediate biochemical processes. Analysis and simulation of these models, as well as the inference of their parameters from data, are fraught with difficulties because

Livestream

Towards individualized predictions of human sleep and circadian timing

ZOOM ID: 709 120 4849 (ibsbimag)

This talk will be presented online. Zoom link: 709 120 4849 (pw: 1234) Abstract: Accurate assessment of circadian timing is critical to many applications, including timing of drug delivery, prediction of neurobehavioral performance, and optimized scheduling of sleep. Current methods for measuring circadian timing are onerous and do not produce results in real time. Mathematical

Livestream

Inference for Circadian Pacemaking

ZOOM ID: 709 120 4849 (ibsbimag)

This talk will be presented online. Zoom link: 709 120 4849 (pw: 1234) Abstract: Organisms have evolved an internal biological clock which allows them to temporally regulate and organize their physiological and behavioral responses to cope in an optimal way with the fundamentally periodic nature of the environment. It is now well established that the

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