Influenza viruses impart a significant human health burden, with estimates of around one billion infections and nearly 650,000 deaths globally each year. Successful influenza virus transmission is dependent on several factors, including host shedding dynamics and environmental aspects of the transmission setting, among others. Yet we lack an understanding of how environmental loads vary by host, setting, and time into an infection. Here, we use a controlled human infection model to assess environmental influenza virus contamination over the course of an infection. In this model, participants are inoculated with a contemporary strain of influenza A virus (A/Arkansas/08/2020 (recH1N1)) and closely monitored over an eight-day isolation period, allowing for daily collection of environmental samples from rooms. By working in this tightly controlled yet realistic setting, our results establish how environmental loads vary with host, viral, and environmental factors. Our preliminary results indicate that low levels of viral RNA are detectable from multiple participants’ rooms on days one, two, three and six following inoculation day in a range of environmental samples, including on surfaces and in aerosols. The highest viral RNA concentration (0.8 gene copies/ air) was detected from an air purifier filter from a double-occupied room of two highly symptomatic participants. Ongoing work includes infectious virus quantification in samples positive for viral RNA to associate infectious and genomic environmental virus loads. Ultimately, this research will allow us to translate environmental monitoring findings into accurate exposure risks and identify when mitigation strategies should be employed to reduce transmission in indoor settings.