Alyssa Vanderbeek

Alyssa Vanderbeek has extensive experience in the field of biostatistics and data analysis. Alyssa currently works as a Research Biostatistician at Unlearn.AI, where they are responsible for developing statistical methodology for new endpoints, diseases, and development stages. Alyssa'swork involves statistical methodology and simulation in R, as well as trial design, statistical analysis plans, and regulatory submissions.

Prior to their current role, Alyssa worked as a Biostatistician and Data Analyst at the Hospital for Special Surgery. Alyssa also served as a Postgraduate Student at The Institute of Cancer Research, where they conducted independent research on platform trial design and published a rapid review on platform trials in COVID-19.

Alyssa has also worked at Columbia University Irving Medical Center as an Assistant Statistician, and at Columbia University Mailman School of Public Health as a Research Assistant. In their role at the Mailman School, they extended a novel two-stage adaptive dose-finding trial design and published the corresponding R package on CRAN.

Additionally, Alyssa was a Data Science Institute Scholar at The Data Science Institute at Columbia University, where they further developed their expertise in data analysis. Alyssa started their career as a Research Assistant at the Dana-Farber Cancer Institute, focusing on trial data, meta-analysis, and methodology in phase II clinical trials for glioblastoma. Alyssa has also been credited as the first author on a publication from the Program in Regulatory Science at Dana-Farber.

Alyssa Vanderbeek pursued their education at various institutions. From 2018 to 2020, they attended Columbia University Mailman School of Public Health, where they obtained a Master of Science degree in Biostatistics. Prior to that, they completed their Bachelor's degree in Mathematics at Wheaton College Massachusetts, graduating between 2012 and 2016.