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Daniel Stadtmauer

As a Branco Weiss Fellow, Dr. Daniel Stadtmauer will explore cellular and molecular mechanisms behind the evolution of unusual reproductive traits in mammals. Specifically, he will study the systems animals use to sense embryo signals and environmental conditions to regulate how many, and which, offspring to invest in. This is most pronounced in poly-ovulatory species, which fertilize hundreds of times more offspring than they ultimately bring to term. Functional knowledge of these remarkable contrasts to human reproduction can help explain broad patterns in mammal evolution, and open the door to more accurate prediction and control of uterine receptivity to improve human health.

Background

Nationality
USA

Academic Career

  • Universitätsassistent Postdoc, Department of Evolutionary Biology, University of Vienna, Vienna, Austria, 20242025
  • Writing Fellow, Konrad Lorenz Institute for Evolution and Cognition Research, Klosterneuburg, Austria, 20232024
  • Ph.D. in Ecology & Evolutionary Biology, Yale University, New Haven, Connecticut, USA, 20172024
  • B.S. in Ecology & Evolutionary Biology and Anthropology, Yale College, New Haven, Connecticut, USA, 20132017

Major Awards

  • John Spangler Nicholas Prize, Yale University, 2024
  • Jane M. Oppenheimer Fellowship, Yale University, 2020
  • William R. Belknap Award for Excellence in Biological Science, Yale College, 2017
  • Ezra Stiles Richter Fellowship, Yale College, 2016
  • Verizon Innovative App Challenge, 2013

Research

Branco Weiss Fellow Since
2025

Research Category
Evolutionary medicine, reproductive biology, systems biology

Research Location
Department of Genetics, Harvard Medical School, Boston, USA

Background

Why is reproduction, the most essential part of an organism’s life for evolutionary success, so prone to complication and failure? In humans, a striking 40–60 % of fertilized zygotes are lost before clinical detection. But we are not unique: from opossums to elephant shrews, plains viscachas to tenrecs, many mammals produce substantially more offspring than they ultimately bring to term. Evolutionary theory predicts that this pattern is not simply failure, but a feature of error-prone developmental systems with mechanisms for quality control, where embryos are preferentially selected based on chromosomal integrity, signal production, or allelic compatibility. This process, called developmental selection or embryo selection, is a third evolutionary force besides Darwin’s original natural and sexual selection. This hidden arena of selection helps organisms make strategic decisions about which, and how many, offspring to invest in.

Mathematical models of embryo selection are well-developed and statistical patterns abound, but empirical testing of foundational predictions has long remained out of reach. Today, technological advances in single-cell and spatial genomics and sensitive secretomics of trace signals are making it possible to investigate long-standing questions in a mechanistic way, even in non-traditional species.

Details of Research

Embryo selection is an engine of evolutionary innovation, driving some of the most extreme and rapidly evolving reproductive traits in mammals, including poly-ovulation to enable fertilization of hundreds of surplus eggs, specialized uterine biosensor cell types, and family-planning adaptations like receptive embryo pockets that regulate litter size. Dr. Daniel Stadtmauer plans to investigate lineages of mammals where these unusual traits co-occur, combining field sampling in South Africa with genomic, embryological, and developmental approaches in the lab. By identifying the molecular underpinnings of these unique reproductive strategies, he aims to test whether these systems truly function as predicted to select embryos based on variable attributes, and how fetal signaling and maternal physiology co-evolve.

By combining insights from evolutionary theory with state-of-the-art molecular techniques, Dr. Stadtmauer aims to build a more developmentally informed and empirically grounded understanding of how reproduction evolves.