Events Calendar

Quantitative Issues in Cancer Research Working Seminar

In Person

Jeremy Simon Senior Research Scientist, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health Senior Research Scientist, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health Abstract: I will discuss ongoing work from a personalized neoantigen vaccine clinical trial in melanoma, focusing on single-cell RNA-seq and TCR-seq data from patient samples … Continue reading "Quantitative Issues in Cancer Research Working Seminar"

Quantitative Issues in Cancer Research Working Seminar

In Person

Jodeci Wheaden PhD Student, Department of Biostatistics, Harvard T.H. Chan School of Public Health Lifestyle factors and impact on colon cancer risk Abstract: In my exploration titled "Lifestyle Factors and Impact on Colon Cancer Risk," I initially set out to understand the relationship between lifestyle choices and colon cancer risk. However, a pivot was necessary … Continue reading "Quantitative Issues in Cancer Research Working Seminar"

Quantitative Issues in Cancer Research Working Seminar

In Person

Giovanni Parmigiani Professor, Department of Data Science, Dana Farber Cancer Institute and Department of Biostatistics, T.H. Chan School of Public Health Digressions on Simpson’s Paradox

Quantitative Issues in Cancer Research Working Group Seminar

In Person

Phillip Nicol, PhD Student, Department of Biostatistics, Harvard T.H. Chan School of Public Health Estimation in Poisson log-bilinear models Abstract: The Poisson log-bilinear model, also known as GLM-PCA, is a commonly used approach for dimension reduction in single-cell RNA-seq data. Model parameters are usually estimated via maximum likelihood. However, we show that the MLE can … Continue reading "Quantitative Issues in Cancer Research Working Group Seminar"

Quantitative Issues in Cancer Research Working Group Seminar

In Person

Mónica Robles Fontán, PhD Student, Department of Biostatistics, Harvard T.H. Chan School of Public Health Leveraging Record Linkage To Enhance Public Health Research Abstract: Record linkage is the task of combining records from different populations that belong to a single entity to create a new single population. This task allows researchers to take advantage of … Continue reading "Quantitative Issues in Cancer Research Working Group Seminar"

Quantitative Issues in Cancer Research Working Group Seminar

In Person

Christian Covington, PhD Student, Department of Biostatistics, Harvard T.H. Chan School of Public Health Statistical theory and the practice of data analysis: A brief and biased history Abstract: This talk gives an account of the replication crisis and how different disciplines– namely applied sciences, statistics, and theoretical computer science (TCS), have developed their own research … Continue reading "Quantitative Issues in Cancer Research Working Group Seminar"

Quantitative Issues in Cancer Research Working Group Seminar

In Person

Daniel Schwartz, Postdoctoral Research Fellow, Department of Biostatistics, Harvard University Dynamic Latent Factor Models To Infer Dietary Patterns From Nutrition Survey Data Abstract: A growing body of research has shown that poor diet is a leading risk factor for death, especially in connection with chronic diseases such as cardiovascular disease. However, these studies provide limited … Continue reading "Quantitative Issues in Cancer Research Working Group Seminar"