To accelerate innovations in medicine by bringing evolutionary insights into health and disease. The Center brings leading scientists to ASU to join existing faculty in research that demonstrates the power of evolutionary biology to address problems in medicine and public health. The new courses and degrees they create will begin to meet the growing demand for such experiences, and will educate a generation of future researchers and health professionals. Many of these experiences will be at ASU, and some will be in conjunction with the new Mayo medical school, but others will be available online open access worldwide, providing the authoritative content that has long been needed to bridge the gap between evolutionary biology and medicine.
The central focus of the Stone laboratory is anthropological genetics. Currently, projects focus on population history and in understanding how humans and other primates have adapted to their environments, including their disease environments.
A wild 'viral' molecular virology research group that works across ecosystems studying viral dynamics.
Using field and lab studies to examine how environmental conditions (parasites, diet, physical activity) impact chronic diseases of aging like Alzheimer's Dementia and Cardiovascular Disease.
Fundamental concepts in neoplastic progression, for the purposes of developing better methods for cancer prevention and therapy.
Cooperation and conflict in biological systems including cancer evolution and the human microbiome.
Mothers milk as it is shaped by natural selection to be food, medicine, and signal.
Focuses on mosquitoes and the infectious diseases they transmit.
Uses molecular genetic techniques to probe the dynamic interaction between the social environment and the genome with the aim of understanding the fitness consequences of behavioral variation.
Studies how resistance to antimalarial drugs and insecticides evolves, spreads, and can be managed, integrating insights across disciplines to improve resistance control strategies.
Works at the intersection between computer science, statistics, and evolutionary biology, with specific expertise in population genomics.
Takes a One Health approach to understanding the ecology and evolution of infectious disease dynamics in natural systems using tools from ecology, epidemiology, animal behavior, and immunology.
Combines wet-lab experiments and dry-lab computational analyses on a range of samples to investigate virus emergence, transmission and evolution.
My role is to ensure that the lab runs smoothly. In that regard, I assist with lab safety training, ordering of supplies, equipment maintenance and repair, and developing and improving lab protocols. I am also available to help trouble-shoot problems in the wet lab or with data analysis.
Interested in the evolutionary underpinnings of aging, and more specifically in understanding variation in the pace of epigenetic and physiological aging within and across individuals.
Working with the SMack Lab. I have a spirited love for science and the scientific process, but I am mostly interested in unraveling the how and why we age.
Biologist and computational phylogeneticist aspiring to understand the evolution of somatic cells. He develops computational methods that use genomic information to reconstruct the past; specifically, how cancers initiate and evolve within a patient.
Postdoctoral researcher in the SMack Lab, and am currently analyzing single-nucleus RNA sequencing data from the Rhesus macaque brain to characterize how age and sex shape transcriptional changes across cell types.
Combining expertise in genomics and microbiology to advance diagnostics and research. Skills spanning sample handling, wet lab techniques, and bioinformatics analysis
Human biologist studying aging and immune function with 10 years of research experience conducting studies on human biology and health, including aging.
Part of Institute of Human Origins.
My journey is defined by a deep commitment to understanding the intricacies of cancer through bioinformatics. My work harnesses the power of NGS to decode genetic messages, contributing to discoveries in the field of cancer biology.
Specializes in population genetics, evolutionary biology, and molecular evolution, with research focusing on mutation rates, recombination, and demographic inference.
