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Community Spotlight: Dr. Joseph Romano Image
Community Spotlight

Community Spotlight: Dr. Joseph Romano

October 2, 2024

Joseph Romano, PhD, MPhil, MA is an Assistant Professor of Informatics in the Department of Biostatistics, Epidemiology and Informatics, Senior Fellow in the Institute for Biomedical Informatics (IBI) and an investigator in the Center of Excellence in Environmental Toxicology (CEET).

Sharon Xiangwen Xie, PhD Image

Sharon Xiangwen Xie, PhD

September 9, 2024

Dr. Xie’s current research goals are twofold. First, she continues to develop new statistical methods for survival analysis, missing data, measurement error problems, high dimensional data, biomarker evaluations, and longitudinal […]

Jiayin Zheng, PhD Image

Jiayin Zheng, PhD

September 9, 2024

Dr. Zheng is an assistant professor of Biostatistics. His research focuses on the development of novel statistical methods to address important scientific problems, and the application of sound statistical approaches […]

Li Shen, PhD, FAIMBE Image

Li Shen, PhD, FAIMBE

September 9, 2024

Dr. Shen is a Professor and the Deputy Director of the Informatics Division in the Department of Biostatistics, Epidemiology and Informatics at the Perelman School of Medicine in the University […]

Haochang Shou, PhD Image

Haochang Shou, PhD

September 9, 2024

Dr. Shou’s methodological research focuses mainly on developing novel functional data analysis and machine learning models for multimodal and longitudinal imaging measures, wearable computing sensor data, and assessing biomarker reproducibility. […]

Joost B. Wagenaar, PhD Image

Joost B. Wagenaar, PhD

September 9, 2024

Dr. Wagenaar’s research is focused on the mechanisms of data integration, analysis and sustainable scientific collaboration through technology. The challenges of integrating complex scientific data are accompanied by a need […]

Joseph D. Romano, PhD, MPhil, MA Image

Joseph D. Romano, PhD, MPhil, MA

September 9, 2024

Joseph D. Romano is an Assistant Professor of Informatics and Pharmacology in the University of Pennsylvania’s Perelman School of Medicine. He joined the faculty in 2023 after completing postdoctoral and […]

Kristin A. Linn, PhD Image

Kristin A. Linn, PhD

September 9, 2024

Dr. Linn’s methodological research addresses barriers to incorporating complex, high-dimensional data into models for personalized medicine and biomarker development using neuroimaging data. As a co-investigator, she provides biostatistical leadership on […]

Qi Long, PhD Image

Qi Long, PhD

September 9, 2024

Dr. Long’s research purposefully includes novel statistical and machine learning research and impactful biomedical research, each of which reinforces the other. Its thrust is to develop statistical and machine learning […]

Jeffrey S. Morris, PhD Image

Jeffrey S. Morris, PhD

September 9, 2024

In addition to his professorial role, Dr. Morris serves as Director of the Division of Biostatistics. His research interests focus on developing quantitative methods to extract knowledge from biomedical big […]

Danielle Mowery, PhD, MS, MS, FAMIA Image

Danielle Mowery, PhD, MS, MS, FAMIA

September 9, 2024

Dr. Danielle Mowery is a collaborative investigator that develops natural language processing (NLP) solutions for processing clinical texts – i.e., clinical notes, chatbots, and transcribed texts – to support clinical […]

Jing Huang, PhD Image

Jing Huang, PhD

September 9, 2024

Dr. Huang’s research focuses on methodology development to understand the dynamics of disease activities and inform health management using multivariate longitudinal health data. She is currently the PI of a […]

Jin Jin, PhD Image

Jin Jin, PhD

September 9, 2024

Dr. Jin’s research focuses on developing statistical methods and computational tools to address cutting-edge problems in public health and medicine by integrating large-scale, multi-source datasets. Her research areas include health […]

Dokyoon Kim, PhD Image

Dokyoon Kim, PhD

September 9, 2024

Dr. Dokyoon Kim is an Associate Professor of Informatics and serves as the Director of the Center for AI-Driven Translational Informatics (CATI). He also holds the role of Associate Director […]

Kelly D. Getz, PhD, MPH Image

Kelly D. Getz, PhD, MPH

September 9, 2024

Dr. Getz is a pediatric cancer epidemiologist whose research aims to improve outcomes for children and young adults with cancer. Her research has focused on understanding the occurrence and subsequent […]

Blanca E. Himes, PhD, ATSF, FAMIA Image

Blanca E. Himes, PhD, ATSF, FAMIA

September 9, 2024

Dr. Himes’ work focuses on using biomedical informatics approaches to study asthma and other complex traits. Dr. Himes began asthma genetics and pharmacogenetics research by participating in genome-wide association studies […]

John H. Holmes, PhD, FACE, FACMI, FIAHSI Image

John H. Holmes, PhD, FACE, FACMI, FIAHSI

September 9, 2024

John H. Holmes, PhD, is Professor of Medical Informatics in Epidemiology at the University of Pennsylvania Perelman School of Medicine. He is the Associate Director for Medical Informatics at the […]

Yong Chen, PhD Image

Yong Chen, PhD

September 9, 2024

Dr. Yong Chen is Professor of Biostatistics at Department of Biostatistics, Epidemiology, and Informatics (DBEI), and a Senior Scholar at Center for Clinical Epidemiology & Biostatistics (CCEB) at the University […]

George Demiris, PhD, FACMI Image

George Demiris, PhD, FACMI

September 9, 2024

Dr. Demiris is the Mary Alice Bennett University Professor in the School of Nursing and Perelman School of Medicine, and Associate Dean for Research and Innovation in the School of […]

Masking Policies for Covid-19: What Does the Science Say? Image
Publication

Masking Policies for Covid-19: What Does the Science Say?

February 1, 2022

Masking policies during Covid-19 have inspired plenty of political debate, but scientific evidence about the policies’ effects has been very limited. This isn’t surprising, given that it is not practical […]

Removal of Scanner Effects in Covariance Improves Multivariate Pattern Analysis in Neuroimaging Data Image
Publication

Removal of Scanner Effects in Covariance Improves Multivariate Pattern Analysis in Neuroimaging Data

October 5, 2021

To acquire larger samples for answering complex questions in neuroscience, researchers have increasingly turned to multi-site neuroimaging studies. However, these studies are hindered by differences in images acquired across multiple […]

A simple permutation-based test of intermodal correspondence Image
Publication

A simple permutation-based test of intermodal correspondence

October 4, 2021

While many findings in neuroimaging studies pertain to multiple imaging modalities, statistical methods underlying intermodal comparisons have varied. In our recently published paper in Human Brain Mapping, we propose the […]

Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data Image
Publication

Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data

August 15, 2020

While aggregation of neuroimaging datasets from multiple sites and scanners can yield increased statistical power, it also presents challenges due to systematic scanner effects. This unwanted technical variability can introduce […]

Open Insights in Biomedical Data Science Image
Announcement

Open Insights in Biomedical Data Science

April 28, 2020

NEXT SEMINAR Time: Friday, May 14, 1:30pm-3pm EST Topic: Broader and deeper engagement in biomedical data science Moderator: Dr. Hongzhe Li, Vice Chair of Research Integration, DBEI Our panelists are: […]

Distance-Based Analysis of Variance for Brain Connectivity Image
Publication

Distance-Based Analysis of Variance for Brain Connectivity

July 27, 2019

The field of neuroimaging dedicated to mapping connections in the brain is increasingly being recognized as key for understanding neurodevelopment and pathology. Networks of these connections are quantitatively represented using […]

Automated Integration of Multimodal MRI for the Probabilistic Detection of the Central Vein Sign in White Matter Lesions Image
Publication

Automated Integration of Multimodal MRI for the Probabilistic Detection of the Central Vein Sign in White Matter Lesions

September 13, 2018

The central vein sign is a promising MR imaging diagnostic biomarker for multiple sclerosis. Recent studies have demonstrated that patients with MS have higher proportions of white matter lesions with […]

The landscape of NeuroImage-ing research Image
Publication

The landscape of NeuroImage-ing research

September 6, 2018

As the field of neuroimaging grows, it can be difficult for scientists within the field to gain and maintain a detailed understanding of its ever-changing landscape. While collaboration and citation […]

New paper on treatment effects with multiple outcomes Image
Publication

New paper on treatment effects with multiple outcomes

June 1, 2018

Estimating scaled treatment effects with multiple outcomes Edward H Kennedy, Shreya Kangovi, Nandita Mitra Link In classical study designs, the aim is often to learn about the effects of a […]

New paper on sensitivity analysis and power for IV Image
Publication

New paper on sensitivity analysis and power for IV

May 29, 2018

Sensitivity analysis and power for instrumental variable studies Wang X, Jiang Y, Zhang NR, Small DS. Link In observational studies to estimate treatment effects, unmeasured confounding is often a concern. […]

New paper on 2-stage instrumental variables estimation Image
Publication

New paper on 2-stage instrumental variables estimation

March 26, 2018

A general approach to evaluating the bias of 2‐stage instrumental variable estimators Fei Wan, Dylan Small, and Nandita Mitra Unmeasured confounding is a common concern when researchers attempt to estimate […]

New paper on causal inference with missing covariates Image
Publication

New paper on causal inference with missing covariates

March 26, 2018

Bayesian nonparametric generative models for causal inference with missing at random covariates Jason Roy, Kirsten J. Lum, Bret Zeldow , Jordan D. Dworkin, Vincent Lo Re III, and Michael J. […]

Detecting Multiple Sclerosis Lesions via Intermodal Coupling Analysis Image
Publication

Detecting Multiple Sclerosis Lesions via Intermodal Coupling Analysis

March 8, 2018

Magnetic resonance imaging (MRI) is crucial for in vivo detection and characterization of white matter lesions (WML) in multiple sclerosis. While WML have been studied for over two decades using […]

Harmonization of cortical thickness measurements across scanners Image
Publication

Harmonization of cortical thickness measurements across scanners

February 15, 2018

With the proliferation of multi-site neuroimaging studies, there is a greater need for handling non-biological variance introduced by differences in MRI scanners and acquisition protocols. Such unwanted sources of variation, […]

Harmonization of multi-site diffusion tensor imaging data Image
Publication

Harmonization of multi-site diffusion tensor imaging data

August 18, 2017

Diffusion tensor imaging (DTI) is a well-established magnetic resonance imaging (MRI) technique used for studying microstructural changes in the white matter. As with many other imaging modalities, DTI images suffer […]

Volumetric Analysis from a Harmonized Multisite Brain MRI Study of a Single Subject with Multiple Sclerosis Image
Publication

Volumetric Analysis from a Harmonized Multisite Brain MRI Study of a Single Subject with Multiple Sclerosis

June 22, 2017

MR imaging can be used to measure structural changes in the brains of individuals with multiple sclerosis and is essential for diagnosis, longitudinal monitoring, and therapy evaluation. The North American […]

New Publication on Doubly Robust Methods for Cost Effectiveness Estimation Image
Publication

New Publication on Doubly Robust Methods for Cost Effectiveness Estimation

April 2, 2017

A doubly robust approach for cost–effectiveness estimation from observational data Li, Vachani, Epstein, Mitra Estimation of common cost–effectiveness measures, including the incremental cost–effectiveness ratio and the net monetary benefit, is […]

New Publication on Causal Mediation Image
Publication

New Publication on Causal Mediation

August 1, 2016

A framework for Bayesian nonparametric inference for causal effects of mediation. Kim C, Daniels MJ, Marcus BH, Roy JA We propose a Bayesian non-parametric (BNP) framework for estimating causal effects […]

New Publication on Bayesian Marginal Structural Models Image
Publication

New Publication on Bayesian Marginal Structural Models

June 26, 2016

A Bayesian nonparametric approach to marginal structural models for point treatments and a continuous or survival outcome. Roy J, Lum KJ, Daniels MJ. Marginal structural models (MSMs) are a general […]