I currently work for the Association of Zoos & Aquariums (AZA) Reproductive Management Center at the Saint Louis Zoo. As Program Analyst, my primary responsibilities include (1) managing the Center's database, analyzing data from records of contraception use for efficacy, safety and reversibility, (2) conducting Reproductive Viability Analyses (RVA) to investigate factors affecting reproductive success in zoo-based animal populations, and (3) modeling the long term effects of different reproductive strategies on the genetics and demographics of zoo-based animal populations. During my tenure as a graduate student, I developed a strong interest in the analysis of biological data, began teaching biostatistics and experimental design to both undergraduate and graduate students, and also began working as a statistics consultant. As a consultant, I offer experimental design and data analysis solutions for researchers across the biological sciences to ensure high quality data are collected and subsequently analyzed appropriately to answer questions of biological relevance for the populations being studied. As they say, when it comes to statistics, garbage in means garbage out.
I currently work for the Association of Zoos & Aquariums (AZA) Reproductive Management Center at the Saint Louis Zoo. As Program Analyst, my primary responsibilities include (1) managing the Center's database, analyzing data from records of contraception use for efficacy, safety and reversibility, (2) conducting Reproductive Viability Analyses (RVA) to investigate factors affecting reproductive success in zoo-based animal populations, and (3) modeling the long term effects of different reproductive strategies on the genetics and demographics of zoo-based animal populations. During my tenure as a graduate student, I developed a strong interest in the analysis of biological data, began teaching biostatistics and experimental design to both undergraduate and graduate students, and also began working as a statistics consultant. As a consultant, I offer experimental design and data analysis solutions for researchers across the biological sciences to ensure high quality data are collected and subsequently analyzed appropriately to answer questions of biological relevance for the populations being studied. As they say, when it comes to statistics, garbage in means garbage out.