Speakers
Description
Hormones play a central role in regulating physiological systems and maintaining homeostasis, yet the multiscale, feedback-rich nature of endocrine function poses major challenges for understanding and treating disorders spanning metabolic, mood, and hormone-responsive disorders. This mini-symposium brings together researchers developing mathematical and computational frameworks to interrogate endocrine processes across biological systems and clinical contexts. Topics include modeling hormonal dysregulation in diseases such as diabetes, depression, and cancer; investigating gut/brain and neuroendocrine signaling through neurotransmitter pathways like serotonin and dopamine; and analyzing hormone-driven biological rhythms and life-stage transitions. Embracing systems-level thinking, the talks will highlight mechanistic modeling, data integration, and network-based approaches with relevance to personalized medicine. Our speakers span a range of career stages from graduate students to faculty and industry scientists and reflect a diversity of identities and perspectives. By bridging disciplines and amplifying emerging voices, this session showcases how mathematical modeling can accelerate both fundamental understanding and clinical insight in endocrinology.
