Invited and Topic Contributed Sessions

Summary of Invited Sessions

Access to all Invited Sessions is offered to registered attendees. 

Shown below is a preliminary list of sessions. The final lineup of Invited Sessions will be shared in the conference's mobile application.

The IBC2026 Invited Session Program has been confirmed. The sessions include a wide range of topics, including ecology, clinical trials, general modelling approaches, health, epidemiology, environmental health and more.  Congratulations to our presenters!

SESSION INFORMATION

SESSION TITLES AND SPEAKERS (Subject to Change)

SPEAKER NAMES

COUNTRY
A critical assessment of methods for treatment switching in oncology trials Lisa Hampson Switzerland
Richard Cook Canada
Tobias Mütze Switzerland
Yujie Zhong China
Advancing Biological Research Using Topological Data Analysis and Deep Learning Anass El-Yaagoubi Saudi Arabia
Hernando Ombao Saudi Arabia
Moo Chung United States
Woong Kook Korea (the Republic of)
AI in Genomics Gary Bader Canada
Iuliana Ionita-Laza United States
Lisa Strug Canada
Bayesian Clinical Trials: Innovative Methods for Real-World Challenges Carlos Cinelli United States
Ding Ma Australia
Luke Hagar Canada
Shirin Golchi Canada
Silvia Calderazzo Germany
Bayesian spatial and spatio-temporal modeling for public health Alexandra Schmidt Canada
Shariq Mohammed United States
Veronica Berrocal United States
Yeongjin Gwon United States
Beyond the Map: Cutting-Edge Spatial Models Inspired by Contemporary Applications Jessica Pavani Canada
Marcos Prates Brazil
Paula Moraga Saudi Arabia
Rosangela Loschi Brazil
Borrowing Strength across Studies and Populations: Modern Strategies for Integrative Inference in Biomedical Research Chin-Fu Hsiao Taiwan
Koko Asakura Japan
Kosuke Morikawa United States
Satoshi Hattori Japan
Tim Friede Germany
Data-driven Advances in Mental Health Statistics: Novel Methods for mHealth, Neuroimaging, and Causal Discovery Debangan Dey United States
Jieru Shi United Kingdom
Partha Sarkar United States
Soumik Purkayastha United States
Debiased Machine Learning – Beyond Average Treatment Effects Karla Diaz-Ordaz United Kingdom
Lin Liu China
Stijn Vansteelandt Belgium
Tong Chen Australia
Deep Learning for Spatial Modelling
Bo Li United States
Bokgyeong Kang Korea (the Republic of)
Renato Assuncao Brazil
Estimands in Clinical Trials: A Roadmap from Theory to Practice Feng Chen China
Jiawei Wei China
Kelly Van Lancker Belgium
Leslie Meng Germany
Yuhan Huang China
Evaluation of dynamic surrogate markers for longitudinal studies Cheng Zheng United States
Geert Molenberghs Belgium
Layla Parast United States
Roula Tsonaka Netherlands
Frontiers in Causal Inference: Tackling Modern Challenges Arman Oganisian United States
Fan Li United States
Liangyuan Hu Afghanistan
Maria Josefsson Sweden
Xinyuan Song Hong Kong
Information monitoring in biological sciences: methods, challenges and applications Jianxin Pan China
Long-Hao Xu Germany
Nitis Mukhopadhyay United States
Ole Schacht Belgium
Tim Friede Germany
Innovative Statistical Methods for Complex Environmental Exposure Analysis Alex Stringer Canada
Mengling Liu United States
Myeonggyun Lee United States
Paul Albert United States
Seungjae Lee Korea (the Republic of)
Shanshan Zhao United States
Innovative Statistical Methods for Detecting Treatment Effect Heterogeneity in Clinical Trials Guangyu Tong United States
James Willard United Kingdom
Lara Maleyeff Canada
Philippe Boileau Canada
Innovative Yet Clear: What defines good communication of results based on complex clinical trials? Alex London United States
Kit Roes Netherlands
Martin Posch Austria
Mouna Akacha Switzerland
Intelligent Risk Prediction via Causal and Efficient Modeling in Electronic Health Records Guorong Dai China
Huan He United States
JooChul Lee United States
Le Wang United States
Weidong Ma United States
Machine Learning Approaches in Personalized Medicine Bibhas Chakraborty Singapore
Palash Ghosh India
Tanujit Chakraborty United Arab Emirates
Wooseok Ha Korea (the Republic of)
Methodological and Computational Advances in Joint Modeling of Longitudinal and Time-to-Event Data Dimitris Rizopoulos Netherlands
Esra Kurum United States
Geert Verbeke Belgium
Rajeshwari Sundaram United States
Methodological Developments and Applications for Error-Prone Data Caihong Qin United States
Jin Huaqing United States
Nelis Potgieter United States
Novel Statistical Methodology for Genetic Studies with Longitudinal Phenotypes Hyokyoung Hong United States
Paul Albert United States
Pei Zhang United States
Saonli Basu United States
Shelley Bull Canada
Yize Zhao United States
Novel Statistical Methods for New Omics Technologies Agus Salim Australia
Arief Gusnanto United Kingdom
Heejung Shim Australia
Jean Yang Australia
Yingying Wei Hong Kong
Practical Considerations for Covariate Adjustment in Clinical Trials Cristina Sotto Belgium
Daniel Backenroth United States
Muluneh Addis Belgium
Sanne Roels Belgium
Recent Advances in Causal Mediation Analysis Arthur Chatton Canada
Donna Coffman United States
Geneviève Lefebvre Canada
Tat-Thang Vo France
Recent Advances in Statistical Analysis of Complex Network Data Binyan Jiang Hong Kong
Jin-Hong Du Hong Kong
Shujie Ma United States
Weijing Tang United States
Recent Methodological Advances for Handling Intercurrent Events in Causal Inference Analyses Andrew Zhou China
Jay Xu Canada
Linbo Wang Canada
Shanshan Luo China
Thomas Belin United States
Statistical Innovations for Trustworthy AI Driven Decisions in Healthcare Jean Feng United States
Joseph Hogan United States
Rebecca Hubbard United States
Yan Shuo Tan Singapore
Strengthening (bio)statistics and data science education and research resources in Sub Saharan Africa Ann Mwangi Kenya
Misrak Gezmu United States
Samuel Manda South Africa
Tarylee Reddy South Africa
Tobias Chirwa South Africa
Ziv Shkedy Belgium
The Opportunities and Challenges for Statisticians of Research using Long-Term Agricultural Experiments Andrew Mead United Kingdom
Hans Peter Piepho Germany
Monica Balzarini Argentina
Pablo Gonzalez Barrios Uruguay
Virtual Control Groups in Nonclinical Research: Statistical Foundations, Validation, and Regulatory Perspectives Dingzhou Li United States
Timur Tug Germany
Wiebke Dammann Germany

Summary of Topic Contributed Sessions

Access to all Topic Contributed Sessions is offered to registered attendees. 

Shown below is a preliminary list of sessions. The final lineup of Topic Contributed Sessions will be shared in the conference's mobile application.

Topic Contributed Sessions are organized around a specific topic, while being presented in the same format as contributed sessions. These sessions allow for more specified exploration of a topic, such as in an Invited Session, while permitting additions from broader abstract contributions where appropriate.

SESSION INFORMATION

SESSION TITLES (Subject to Change)

SPEAKER NAMES

COUNTRY
Advanced Statistical Methods to Survival Analysis with Complex Data Structures Il Do Ha Korea (the Republic of)
Kaida Cai China
Li-Pang Chen Taiwan
Masao Ueki Japan
Advancing methods for complex longitudinal data in aging research: multivariate endpoints, measurement, and competing risks Chengjie Xiong United States
Fan Li United States
Michelle Shardell United States
Qian-Li Xue United States
Seonjoo Lee United States
Bayesian Advances for Complex Biological and Epidemiological Data Juhee Lee United States
Seunghyun Eom Korea (the Republic of)
Shuangjie Zhang United States
Yisheng Li United States
Flexible Survival Analysis Powered by Machine-Learning Methods Asaf Ben Arie Israel
George Chen United States
Malka Gorfine Israel
Yifan Cui United States
Functional Data Analysis beyond Classical Study Designs Brian Reich United States
Elham Mirfarah United Kingdom
Haiyan Liu United Kingdom
Jeanine Houwing-Duistermaat Netherlands
Hotly debated topics in Biostatistics: a STRATOS perspective James Carpenter United Kingdom
Malka Gorfine Israel
Michal Abrahamowicz Canada
Riccardo De Bin Norway
Ruth Keogh United Kingdom
Innovations in Bayesian methods for Modern Clinical Trial Design and Analysis J. Jack Lee United States
Mi-Ok Kim United States
Shouhao Zhou United States
Wei Wei United States
Innovations in Spatial Epidemiology: Advancing Equity and Policy through Open Data and Modelling Ezra Gayawan Nigeria
Kefyalew Alene Australia
Olamide Akeboi Nigeria
Oyelola Adegboye Australia
Stephanie Hernandez Australia
Modeling Complexities in Modern Genomic and Transcriptomic Data Hyeongseon Jeon United States
Jaihee Choi United States
Jingyi Jessica Li United States
Tiffany Tang United States
Ying Ma United States
Modern Approaches to Missing Data in Epidemiological Studies and Real-World Data Michael Daniels United States
Navneet Hakhu United States
Pamela Shaw United States
Sebastien Haneuse United States
Modern Bayesian approaches for structured and unstructured biomedical data Dipak Dey United States
Gyuhyeong Goh Korea (the Republic of)
Jungwun Lee United States
Shariq Mohammed United States
Yeonseung Chung Korea (the Republic of)
Modern Statistical Learning Approaches for Real-world Digital Health Data Jooyoung Lee Korea (the Republic of)
Lin Ge United States
Xin Zhou United States
Zuoheng Wang United States
New Statistical Approaches for Health Data: Addressing Measurement Error, Group Differences, and Distributional Shifts Eun Ryung Lee Korea (the Republic of)
Hyokyoung Hong United States
Sungkyu Jung Korea (the Republic of)
Novel Applications and Methodological Advances for Multi-Source Time-to-Event Data in Cancer Research Hyunsoon Cho Korea (the Republic of)
Angela Mariotto United States
Sayeri Lala United States
Summer Han United States
Novel Bayesian designs for early phase clinical trials Guosheng Yin Hong Kong
Jin Xu China
Yi Cheng China
Ying Yuan United States
Novel methods for wearable and mobile apps devices in biomedical studies Bibhas Chakraborty Singapore
Carmen Tekwe United States
Xue Lan United States
Yuanyuan Luan United States
Novel Statistical Methods in Survival Analysis Chi Hyun Lee Korea (the Republic of)
Chiung-Yu Huang United States
Daewoo Pak Korea (the Republic of)
Sy Han Chiou United States
Xianghua Luo United States
Recent advancement in data integration (in survival analysis) Guanbo Wang United States
Jiwei Zhao United States
Stijn Vansteelandt Belgium
Recent Advancements in Design and Analysis of Adaptive and Cluster Randomized Trials Eunhee Kim United States
Guoqing Diao United States
Ick Hoon Jin Korea (the Republic of)
Shogo Nomura Japan
Recent advances in Bayesian adaptive dose finding and dose optimization designs for complex clinical trials mengyi Lu China
Suyu Liu United States
Yan Han United States
yong zang United States
Recent Advances in Deep Learning for Time-to-Event Modeling and Survival Analysis Hyungrok Do United States
Sehwan Kim Korea (the Republic of)
Wen Su Hong Kong
Wenyu Jiang Canada
Yuanyuan Lin Hong Kong
Recent Advances in Hierarchical Likelihood Theory and Applications in Biostatistics Donghwan Lee Korea (the Republic of)
Hangbin Lee Korea (the Republic of)
Maengseok Noh Korea (the Republic of)
Youngjo Lee Korea (the Republic of)
Statistical Advances in Single-Cell and Spatial Genomics Jiebiao Wang United States
Lin Chen United States
Linxi Liu United States
Yuchao Jiang United States
Hao Feng United States

Courtesy Seoul Tourism Organization

Courtesy Seoul Tourism Organization