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 … Continue reading "Quantitative Issues in Cancer Research Working Group Seminar"
Mathieu Chalouni Postdoctoral Research Fellow, Harvard T.H. Chan School of Public Health, Department of Epidemiology Effect of DAA initiation and timing on the risk of liver and non-liver-related complications in persons with HIV and HCV co-infection from the HepCAUSAL collaboration Abstract: The main complication of hepatitis C virus infection is liver fibrosis, which could evolve … Continue reading "HIV Working Group Seminar"
Registration for in person attendance. Invited speakers: Adewole Adamson, MD, MPP, Dell Medical School at the University of Texas at Austin, “AI and Melanoma Disparities” Cynthia Dwork,PhD, Harvard University Nate Fillmore,PhD, VA Boston Healthcare System and Harvard Medical School Carmen E. Guerra, MD, MSCE, University of Pennsylvania, “The (Mis)use of Race and Ethnicity in Biomedical … Continue reading "DFCI 2024 Marvin Zelen Symposium: Health Disparities and Cancer"
Ruben Dries Assistant Professor, Medicine Boston University Towards Solutions for Large-Scale Multi-Modal Spatial Data Analysis In the burgeoning field of spatial biology, the integration of multi-modal spatial omics technologies presents both a formidable challenge and a tremendous opportunity for advancing clinical research and diagnostics. I will discuss the concerted efforts of our laboratory to address … Continue reading "PQG Seminar"
Elizabeth Graff, PhD Student, Department of Biostatistics, Harvard T.H. Chan School of Public Health Applications of Deep Learning for Graph-Structured Data: From Disease Spread to Social Networks Abstract: How can we apply deep learning to solve problems in modeling the spread of disease? In this talk, we will explore the components and applications of Graph … Continue reading "Quantitative Issues in Cancer Research Working Group Seminar"
Kimberly Greco, PhD Student, Department of Biostatistics, Harvard T.H. Chan School of Public Health Graph Attention Framework to Enhance Rare Disease Sub-Phenotyping from EHR Abstract: Accurately sub-phenotyping patients according to their risk for an adverse clinical outcome can significantly enhance clinical decision-making. Recent advances in patient representation learning have enabled the development of sophisticated clustering … Continue reading "Quantitative Issues in Cancer Research Working Group Seminar"
Paige Williams Senior Lecturer on Biostatistics, Harvard T.H. Chan School of Public Health, Department of Biostatistics The Pediatric HIV/AIDS Cohort Study (PHACS) Abstract: The Pediatric HIV/AIDS Cohort Study (PHACS) network … Continue reading "HIV Working Group Seminar"
Seunggeun 'Shawn' Lee Adjunct Professor, Biostatistics University of Michigan Rare variant association analysis Rare variants significantly impact complex diseases. This presentation will first introduce SAIGE-GENE and SAIGE-GENE+, methodologies extending SAIGE to gene/region-based rare variant tests. These methods efficiently utilize mixed effects models to adjust for sample relatedness and saddlepoint approximations to account for case-control imbalance. … Continue reading "PQG Seminar"
Carmen B. Rodriguez, PhD Student, Department of Biostatistics, Harvard T.H. Chan School of Public Health A Bayesian Mixture Model Approach to Examining Socioeconomic Disparities in Endometrial Cancer Care in Massachusetts. Abstract: Endometrial cancer (EC) is the most common gynecologic cancer in the United States. On average, African American women have 55% higher 5-year mortality risk … Continue reading "Quantitative Issues in Cancer Research Working Group Seminar"
Thesis Defense: Evelyn Jiang Time: Monday April 29, 2024, at 1:00 PM Eastern Time Location: Kresge 201 Evelyn will present the thesis titled “Predicting gene expression using whole-genome DNA methylation … Continue reading "Thesis Defense – Evelyn Jiang"
Thesis Defense: Yushan Xu Time: Monday April 29, 2024, at 2:00 PM Eastern Time Location: Kresge 205 Yushan will present the thesis titled “Whole-genome Sequence Analyses for Daytime Sleepiness in … Continue reading "Thesis Defense – Yushan Xu"
Yige will present the dissertation entitled “Toward Robust and Transparent Estimation of the Effects of Time-Dependent Interventions". The dissertation committee is chaired by Dr. José Zubizarreta, and includes Dr. Miguel … Continue reading "Dissertation Defense – Yige Li"
Thesis Defense: Jessica Petrochuk Time: Monday May 1, 2024, at 12:00 PM Eastern Time Location: Kresge 205 Zoom: https://harvard.zoom.us/j/97662851929 Jessica will present the thesis titled “Foundation Model Based Prediction of … Continue reading "Thesis Defense – Jessica Petrochuk"
Amy Zhou, PhD Student, Department of Biostatistics, Harvard University Comparison of Outcome-Dependent Sampling for Semi-Competing Risks Abstract: Outcome-dependent sampling is a commonly used design tool to collect otherwise unavailable information … Continue reading "Quantitative Issues in Cancer Research Working Group Seminar"
Eric will present the dissertation entitled “Statistical Methods for the Study of Effect Modification and Spatial Causal Inference: Theory and Applications”. The dissertation committee is chaired by Dr. José Zubizarreta, and includes Dr. Rajarshi Mukherjee and Dr. Andrea Rotnitzky.
Thesis Defense: Pluto Zhang Time: Friday May 3, 2024, at 11:00 AM Eastern Time Location: Kresge 201 Pluto will present the thesis titled “Statistical, Machine and Deep Learning Models for Characterizing Self-Reported Health Outcomes from the American Time Use Survey (Eating and Health Module)”. The thesis committee is chaired by Erin Lake and includes Shilpa … Continue reading "Thesis Defense – Pluto Zhang"
Intekhab will present the dissertation entitled “Biologically motivated artificial intelligence for explainable gene regulatory dynamics”. The dissertation committee is chaired by Dr. John Quackenbush, and includes Dr. Rebekka Burkholz, Dr. Rong Ma, and Dr. Kimberly Glass.
