Conference Agenda

This conference agenda outlines a two-day event featuring keynote talks, invited sessions with multiple presentations, speed poster presentations, career panels, and a contributed poster session with a mixer. Topics include data science, public health leadership, clinical trials, disease modeling, big data, high-dimensional information, and statistical leadership across various sectors. Meals are provided throughout the event. --- **Import Information:** - **AI Model:** Gemini 2.5 Flash - **Processing Time:** 134.1s - **Estimated Cost:** €0.0074 (~0.74¢) - **Tokens Used:** 11,622 input / 23,833 output

Event Start:Nov 15, 2024
Event End:Nov 16, 2024
RAS
America/Chicago (CST/CDT)

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Day 1

Friday, November 15, 2024

20 Sessions(1 Session•1 Talk•2 Keynotes•9 Presentations•2 Q&As•1 Panel•1 Lunch•1 Reception•1 Dinner•1 Break)

07:00 - 20:30

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Breakfast

Break
7:00 AM - 8:00 AM
RAS
Room:

102

Welcome Dean and Chair, Chair address

Session
8:00 AM - 8:40 AM
RAS
Welcome address by the Dean and Chair.
Lead:
Dr. Hulin Wu
Room:

101

A Half-Century of Data, Discovery, and Public Health Leadership

Talk
8:40 AM - 9:10 AM
RAS
A session discussing a half-century of data, discovery, and public health leadership.
Lead:
Dr. Barry R Davis
Lead:
Dr. Hulin Wu
Room:

101

Keynote talk: Transforming Clinical Trials through Innovation, Real-World Evidence, and Patient Diversity

Keynote
9:10 AM - 10:00 AM
RAS
Keynote on transforming clinical trials using innovation, real-world evidence, and patient diversity.
Lead:
Dr. Susan Halabi
Lead:
Dr. Barry R Davis
Room:

101

Utilization of Adverse Event (AE) Data in Cancer Clinical Trial from Data Science Perspective

Presentation
10:15 AM - 10:35 AM
RAS
Presentation on utilizing adverse event data in cancer clinical trials from a data science perspective.
Lead:
Dr. Dung-Tsa Chen
Lead:
Dr. Wenyaw Chan
Room:

101

A non-parametric approach to predict the recruitment for randomized clinical trials: An example in elderly inpatient settings

Presentation
10:35 AM - 10:55 AM
RAS
Presentation on a non-parametric approach to predict recruitment for randomized clinical trials, with an example in elderly inpatient settings.
Lead:
Dr. Xiaoying Yu
Lead:
Dr. Wenyaw Chan
Room:

101

Time-Since-Infection Model for Hospitalization and Incidence Data in Infectious Disease Modeling

Presentation
10:55 AM - 11:15 AM
RAS
Presentation on a time-since-infection model for hospitalization and incidence data in infectious disease modeling.
Lead:
Dr. Jing Huang
Lead:
Dr. Wenyaw Chan
Room:

101

Lactate Response to Exercise in Alzheimer's Disease versus Controls: Using Linear Mixed Models to Account for Repeated Measures and for Heterogeneous Variances

Presentation
11:15 AM - 11:35 AM
RAS
Presentation on lactate response to exercise in Alzheimer's disease versus controls, using linear mixed models.
Lead:
Dr. Jonathan D Mahnken
Lead:
Dr. Wenyaw Chan
Room:

101

Q & A

Q&A
11:35 AM - 11:45 AM
RAS
Lead:
Dr. Wenyaw Chan
Room:

101

Lunch

Lunch
11:45 AM - 1:00 PM
RAS
Room:

102

Keynote talk: Utilizing Data to Make Advancements for Cancer

Keynote
1:00 PM - 1:50 PM
RAS
Keynote on utilizing data to make advancements in cancer research and treatment.
Lead:
Dr. Jill Barnholtz-Sloan
Lead:
Dr. Jose-Miguel Yamal
Room:

101

Showcase of Using Machine Learning Methods to Improve Clinical Understanding of Aging Problem

Presentation
2:00 PM - 2:20 PM
RAS
Presentation showcasing machine learning methods to improve clinical understanding of aging problems.
Lead:
Dr. Han Feng
Lead:
Dr. Tru Cao
Room:

101

Applications of Machine Learning for Detection and Amyloid Burden Classification in Mouse MRI for Alzheimer's Disease

Presentation
2:20 PM - 2:40 PM
RAS
Presentation on machine learning applications for detection and amyloid burden classification in mouse MRI for Alzheimer's disease.
Lead:
Dr. Esther Ngan
Lead:
Dr. Tru Cao
Room:

101

Quantifying the Global Mediation Effect for Nonsparse High-dimensional Genomics Mediators

Presentation
2:40 PM - 3:00 PM
RAS
Presentation on quantifying the global mediation effect for nonsparse high-dimensional genomics mediators.
Lead:
Dr. Tianzhong Yang
Lead:
Dr. Tru Cao
Room:

101

A Patient Similarity-embedded Bayesian Approach to Prognostic Biomarker Inference with Application to Thoracic Cancer Immunity

Presentation
3:00 PM - 3:20 PM
RAS
Presentation on a patient similarity-embedded Bayesian approach to prognostic biomarker inference, with application to thoracic cancer immunity.
Lead:
Dr. Duo Yu
Lead:
Dr. Tru Cao
Room:

101

Q & A

Q&A
3:20 PM - 3:30 PM
RAS
Lead:
Dr. Wenyaw Chan
Room:

101

Poster Presentation (Speed)

Presentation
3:40 PM - 4:20 PM
RAS
A speed poster presentation session.
Lead:
Dr. Rossi Luo
Room:

101

Career Panel: Statistical Leadership across Sectors

Panel
4:20 PM - 5:20 PM
RAS
A career panel discussing statistical leadership across various sectors.
Lead:
Dr. Chao Yang
Participants:
Dr. Jeff ChenDr. Jack LeeDr. David Manner
Room:

101

Contributed Poster Session & Mixer

Reception
5:30 PM - 6:30 PM
TBD
A session for contributed posters and networking.
Lead:
Dr. Rossi Luo

Banquet

Dinner
6:40 PM - 8:30 PM
TBD

Day 2

Saturday, November 16, 2024

12 Sessions(1 Keynote•5 Presentations•1 Q&A•1 Panel•1 Talk•1 Award Show•1 Lunch•1 Break)

07:00 - 13:00

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Breakfast

Break
7:00 AM - 8:00 AM
RAS
Room:

102

Keynote talk: Statistical Leadership in Advancing Innovation in Drug Development

Keynote
8:00 AM - 8:50 AM
RAS
Keynote on statistical leadership in advancing innovation in drug development.
Lead:
Dr. Kannan Natarajan
Lead:
Dr. Samiran Ghosh
Room:

101

A Bayesian zero-inflated Dirichlet-multinomial Regression Model for Multivariate Compositional Count Data

Presentation
9:00 AM - 9:20 AM
RAS
Presentation on a Bayesian zero-inflated Dirichlet-multinomial regression model for multivariate compositional count data.
Lead:
Dr. Matthew D Koslovsky
Lead:
Dr. Ruosha Li
Room:

101

A Dynamic Risk Model for Multi-outcome Data in Longitudinal Studies

Presentation
9:20 AM - 9:40 AM
RAS
Presentation on a dynamic risk model for multi-outcome data in longitudinal studies.
Lead:
Dr. Alokananda Ghosh
Lead:
Dr. Ruosha Li
Room:

101

Regression Analysis of Multivariate Recurrent Event Data Allowing Time-Varying Dependence with Application to Stoke Registry Data

Presentation
9:40 AM - 10:00 AM
RAS
Presentation on regression analysis of multivariate recurrent event data, allowing time-varying dependence with application to stroke registry data.
Lead:
Dr. Wen Li
Lead:
Dr. Ruosha Li
Room:

101

From Prevision Health to Social Determinants of Health – Opportunity to Integrate Data Science into Behavior Interventions

Presentation
10:00 AM - 10:20 AM
RAS
Presentation on integrating data science into behavior interventions, from precision health to social determinants of health.
Lead:
Dr. Yue Liao
Lead:
Dr. Ruosha Li
Room:

101

Mobile devices: Validity, measurement errors, and their application in forecasting pediatric migraine attacks

Presentation
10:20 AM - 10:40 AM
RAS
Presentation on mobile devices, their validity, measurement errors, and application in forecasting pediatric migraine attacks.
Lead:
Dr. Hung-Wen Yeh
Lead:
Dr. Ruosha Li
Room:

101

Q & A

Q&A
10:40 AM - 10:50 AM
RAS
Lead:
Dr. Ruosha Li
Room:

101

Career Panel: Professional Developments in Academia and Research Centers

Panel
11:00 AM - 12:00 PM
RAS
A career panel discussing professional developments in academia and research centers.
Lead:
Dr. Evan Kwiatkowski
Participants:
Dr. Dung-Tsa ChenDr. Jing HuangDr. Matthew D Koslovsky
Room:

101

Valedictory Address

Talk
12:00 PM - 12:07 PM
RAS
A valedictory address by Dr. Samiran Ghosh.
Lead:
Dr. Samiran Ghosh
Room:

101

Awards & Conclusion

Award Show
12:07 PM - 12:20 PM
RAS
Awards presentation and concluding remarks for the conference.
Room:

101

Box Lunch

Lunch
12:20 PM - 1:00 PM
RAS
Room:

102