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Speaker Topics

​Workshop Speakers (November 7, 2022)

Todd Treagan & Vicky Yao, Rice University

Sergey Koren, NIH


Donna M. Muzny, Baylor College of Medicine 

Ge (Esther) Lou, Rice University



Fritz Sedlazeck, Baylor College of Medicine


Nicholas Navin, UT MD Anderson Cancer Center

Andrew Cox, UT Southwestern Medical Center




So Hyun (Julie) Park, Rice University

Genevera Allen, Rice University; Texas Children’s

Hospital; Baylor College of Medicine

Welcome to ​the RAD Genomics Workshop; Closing

A Complete Diploid Human Genome; Reading and Assembling Genomes Panel

Genomic Data Flow and Reporting for One Million All of Us Participants; Reading and Assembling Genomes Panel

Leveraging Wastewater Genomics for Public Health Surveillance: Focusing on Antibiotic Resistance and SARS-CoV-2 


Reading and Assembling Genomes Panel


Cancer Genomics: One Cell at a Time; Analyzing and Designing Genomes Panel

Accurate Automated Classification of Prognostic Genetic Abnormalities in Acute Myeloid Leukemia and Acute Promyelocytic Leukemia


Comprehensive Analysis and Accurate Quantification of Unintended Large Gene Modifications Induced by CRISPR/Cas9 Gene Editing; Analyzing and Designing Genomes Panel

Analyzing and Designing Genomes Panel

Conference Speakers (November 8, 2022)

Angela Wilkins, Rice University

Lydia Kavraki, Rice University

Richard Gibbs, Baylor College of Medicine


Sonia Villapol, UT MD Anderson Cancer Center



Kirsten Ostherr, Rice University

Piyush Anand, Rice University


Courtney Rouse, Southwest Research Institute

Han Yu, Rice University


Jon Tamir, University of Texas at Austin


Badri Roysam, University of Houston


Kristy Brock, UT MD Anderson Cancer Center

Diego R. Martin, Houston Methodist Research Institute


Guha Balakrishnan, Rice University

Laurence Court, UT MD Anderson Cancer Center

Caroline ChungUT MD Anderson Cancer Center

Stuart Corr, Houston Methodist


Ashok Veeraraghavan, Rice University

Wei Yang, UT MD Anderson Cancer Center

Josh Yung, UT MD Anderson Cancer Center

Conference Speakers (November 9, 2022)

Xia (Ben) Hu, Rice University 




Theodora Chaspari, Texas A&M University

Roozbeh Jafari, Texas A&M University

Maryam Khalid, Rice University

Marzia Cescon, University of Houston

Cesar Uribe, Rice University

Akane Sano, Rice University

Laura E. Barnes, University of Virginia

Charles Green, UT Medical School at Houston

Yejin Kim, UT Health Science Center at Houston

Huiyuan Yang, Rice University


Conference Speakers (November 8, 2022)

Welcome to ​the 2022 AI in Health Conference

AI in Health: Progress and Prospects

Genomics and Health: All the Data that are Fit to Munge


What Can DNA Sequencing and the Gut Microbiome Tell Us About Concussions?

AI for Racial Health Equity


Did the Pandemic Politically Polarize Vaccine Conversations on Twitter? A Causal Monitoring Study


Identifying Polyploid Cells in Tissue Images via Instance-Aware Semantic Segmentation

Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild


Robust Computational Magnetic Resonance Imaging with Deep Learning

Automated Cell and Tissue Image Analysis for Aiding Therapeutics Discovery

The Role of AI in Advancing Image Guided Cancer Therapy

Machine and Artificial Intelligence in Radiology - Revolutionizing Healthcare


Learning to Reconstruct CT Scans from Few Planar X-rays


AI to Improve Access to Radiotherapy Across the World


Imaging Panel

Imaging Panel

Imaging Panel

Imaging Panel


Imaging Panel

Introduction to Transparency and Interpretation of Health; Towards Effective Interpretation of Deep Neural Networks: Algorithms and Applications; Transparency and Interpretation of Health Panel 


Transparency and Interpretation of Health Panel

Transparency and Interpretation of Health Panel

Exploiting Social Graph Networks for Health Prediction


Deep Learning Based Affine Predictors for Model Predictive Control (MPC): The Case of Type 1 Diabetes (T1D) Therapy


Optimal Transport-Based Analysis of ECG Signals


Introduction to Adaptive Health; Adaptive Health Panel

Sensing and Intervention for Smart Health and Wellbeing; Adaptive Health Panel

Bayesian Adaptive Trial Designs; Adaptive Health Panel

Identifying Subpopulations with Different Alzheimer’s Disease Risk and Progression; Adaptive Health Panel

More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors

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