TDH Immunology Symposium

Opportunities and Challenges in Quantitative Analysis for Medicine and Immunology

 

Translating Duke Health is a multiyear, multidisciplinary program to capitalize on our collective strengths in research, clinical care and population health to address major health challenges.  One of five focus areas, the Immunology & Transplant Initiative is focused on understanding the fundamental rules of immune control. 

This year’s TDH Immunology symposia will focus on quantitative analysis.  The goal is to inform immunology researchers at Duke about the opportunities and challenges in coming years, and to highlight the expertise in quantitative analysis available at Duke that could lead to exciting new collaborations. 

Check-in and breakfast will begin at 7:30 a.m. Food provided.

 

Click here to view the recording

Session I:  Opportunities & Challenges in Quantitative Analysis for Medicine

 

Shein-Chung Chow, PhD, Department of Biostatistics and Bioinformatics

 

 

 

FDA Critical Initiatives in Clinical Research and Development
Shein-Chung Chow, PhD, Department of Biostatistics and Bioinformatics

 

 

Fan Li, PhD, Department of Statistical Sciences

 

 

 

Causal Inference in Patient Centered Outcome Research
Fan Li, PhD, Department of Statistical Sciences

 

 

David Page, PhD, Chair, Department of Biostatistics and Bioinformatics

 

 

 

Opportunities and Challenges in Machine Learning for Medicine
David Page, PhD, Chair, Department of Biostatistics and Bioinformatics

 

 

Session I talks will be followed by a Panel Discussion and Q&A, Moderated by Georgia Tomaras, PhD, Department of Surgery, and Jeese Troy, PhD.

 


 

Session II:  Opportunities & Challenges in Quantitative Analysis for Immunology

 

Joel Collier, PhD, Department of Biomedical Engineering

 

 

 

Engineered Immunotherapies
Joel Collier, PhD, Department of Biomedical Engineering

 

 

Grant Guan, PhD, Department of Biostatistics & Bioinformatics

 

 

 

Immunology & Genomics 
Grant Guan, PhD, Department of Biostatistics & Bioinformatics 

 

 

 

Calibration of Flow Cytometry DataShai Gorsky, Department of Statistical Science 
Shai Gorsky, Department of Statistical Science 

 

Jiyuan Fang, Biostatistics & Bioinformatics

 

 

 

A New Model for Analyzing Single Cell RNA-seq Data
Jiyuan Fang, Biostatistics & Bioinformatics

 

 

Session II talks will be followed by a Panel Discussion and Q&A, Moderated by Li Ma, PhD, Department of Statistical Science, and Jichun Xie, PhD, Department of Biostatistics & Bioinformatics