Please join us on Saturday, November 4, 2023 at 8:30 am for our Annual Biology of Human Aging Retreat!

We wanted to share the following updates regarding upcoming workshops and programs related to biology of aging research.

Gunjan Singh, PhD, a Postdoctoral Research Associate in the Larschan Lab was recently awarded the 2023 Glenn Foundation for Medical Research Postdoctoral Fellowships in Aging Research. This program was developed to provide support for postdoctoral fellows (MD, MD/PhD and PhD) who specifically direct their research towards basic aging mechanisms and/or translational findings that have direct benefits to human aging and healthspan.

New faculty member Dr. Karthi Chellappa and her lab will study Nicotinamide Adenine Dinucleotide and it's affects on aging.

Recently, Dr. Jill Kreiling and her group at the Center on the Biology of Aging at Brown University proposed a creative and innovative solution to the problem that would not only allow for fast, cost-effective AD testing but also provide a framework for ADRD rapid diagnosis and early prevention.

We are pleased to welcome Dr. Carlos Giovanni (Gio) Silva-García, an esteemed scientist from Dr. William Mair’s lab at Harvard and an expert on genetics and epigenetics of aging!

The Webb Lab at Brown University’s Center on the Biology of Aging publishes groundbreaking work on human brain aging, discovering novel sex-specific differences in the hypothalamus

In their latest publication in Genetics, Dr. Marc Tatar and his team identified a new gene mutation that has promising applications for aging research. This mutation is in the insulin receptor, which is part of the long-studied insulin/insulin-like growth factor (IGF) pathway thought to play a critical role in aging.

The newly established NIH Common Fund SenNet Program was created to comprehensively uncover the characteristics of senescent cells across the body, across various states of human health, and across lifespan. The goal of SenNet is to provide publicly accessible atlases of senescent cells, the differences among them, and the molecules they secrete, using data collected from multiple human and model organism tissues.