Program

All times are in Eastern Time. Program is subject to change.

Wednesday May 8

• 8:00 AM-9:00 AM Light Breakfast
  

• 12:00 PM-1:00 PM Lunch Student Union Marketplace
  Participants from McHugh and Science1 will have lunch at the SU Marketplace. Please note, the provided cards can only be used at eateries within the Union Street Market, not at Subway or Dunkin’ Donuts and need to be returned after the Lunch.

• 8:30 AM-5:00 PM Short Course 1: Dose Finding in Clinical Development
  
  • location : Science 1 G01
    Naitee Ting, Boehringer-Ingelheim Pharmaceuticals Inc., and Qiqi Deng and Lili Zhu, Moderna
    
• 8:30 AM-5:00 PM Short Course 2: Bayesian Designs of Clinical Trials Using Historical Data: From Theory to Practice
  
  • location : McHugh 201
    Ming-Hui Chen, University of Connecticut
    
• 1:30 PM-5:00 PM Short Course 3: AI for Clinical Trials: Emulation, Design, Matching, and Q&A Tools
  
  • location : McHugh 202
    Ruishan Liu, University of Southern California
    

Thursday May 9

• 7:30 AM-5:00 PM Registration
  
  • location : Science 1 G01
    
• 7:30 AM-9:00 AM Light Breakfast
  
• 8:30 AM-8:45 AM Opening Remarks
  Ofer Harel, Dean of CLAS at University of Connecticut
  Margaret K Callahan, Chief of the division of Hematology and Oncology, Neag Cancer Center, UCHC
• 8:45 AM-9:45 AM Keynote Session 1: Transforming Healthcare with Basket Trials and Patient-Centric Tissue-agnostic Precision Medicine: A Visionary Approach
  
  • Chair: Shivaani Kummar, Oregon Health & Science University
    
  • Vivek Subbiah, Sarah Cannon Research Institute
• 10:15 AM-12:00 PM Invited Session 1: Big Data and AI in Oncology Research
  • Chair: Ying Lu, Stanford University
  • Connecting the Dots, Investigating Immunotherapy at work in Patient
    Margaret Callahan, Neag Cancer Center, UCHC
  • Cancer survival analysis with deep neural networks: a few recent developments
    Shuangge (Steven) Ma, Yale School of Public Health
  • Leveraging Big Data and AI to Analyze Off-Label and Off-Guideline Cancer Treatments
    Ruishan Liu, University of Southern California
• 12:00 PM- 1:30 PM Lunch and Poster
  
  • location : Student Union Room 304, 3rd floor
    
• 1:30 PM- 3:15 PM Invited Session 2: Novel Strategies for Dose Optimization in Oncology
  
  • Chair: Yuan Ji, University of Chicago
  • Dose-Finding Designs with Late-Onset Toxicities
    Tianjian Zhou, Colorado State University
  • Randomized Screening Selection Design for Pediatric Oncology Trials
    Haitao Pan, St. Jude Children’s Research Hospital
  • Speakers/Panelists: Zhou Feng, Shivaani Kummar
• 3:45 PM- 5:30 PM Invited Session 3: Integration of EHR and Other External Data in the Analysis of Clinical Trials
  
  • Chair: Tianjian Zhou, Colorado State University
  • Leveraging External Data for Testing Experimental Therapies with Biomarker Interactions in Randomized Clinical Trials
    Boyu Ren, Harvard Medical School
    
  • Regulatory and Statistical Considerations for Externally Controlled Trials
    Somak Chatterjee, FDA
    
  • Leveraging External Data in Oncology Trials in a Rare-Disease Setting
    Chenguang Wang, Regeneron
    
  • Propensity score weighted multi-source exchangeability models for incorporating external data in oncology drug development
    Wei Wei, Yale School of Medicine
    
• 6:00 PM-9:00 PM Banquet Session : Partnership in Medicine and Biostatistics as the basis for improving the curability of prostate cancer
  
  • location : Alumni Center Great Hall
    Anthony D’Amico, Harvard medical School

Friday May 10

• 7:30 AM-3:00 PM Registration
  • location : Science 1 G01
    
• 7:30 AM-8:30 AM Light Breakfast
• 8:30 AM-9:30 AM Keynote Session 2: Novel Design and Analysis for Rare Oncology Drug Development
  
  • Chair: Ying Lu, Stanford University
    
  • Shein-Chung Chow, PhD, Duke University School of Medicine Durham
• 10:00 AM-11:45 AM Invited Session 4: Strategies to develop treatments for rare tumors
  
  • Chair: Shivaani Kummar, Oregon Health & Science University
  • Developing treatments for rare tumors: Challenges and Opportunities
    Shivaani Kummar, Oregon Health & Science University
  • Designing and conducting trials for adults with rare CNS tumors- challenges, opportunities, lessons learned
    Marta Penas-Prado, NIH/NCI
  • Understanding the natural history and accelerating better therapies for children, adolescents and young adults with rare tumors
    Brigitte Widemann
  • Practical Considerations in Selecting Patient Reported Outcomes and Alternative Outcomes Assessments in Rare Disease – A Sponsor’s Perspective
    Timothy Bell, SpringWorks Therapeutics, Inc.
• 11:45 AM- 1:15 PM Lunch and Poster
  • location : Student Union Room 304, 3rd floor
    
• 1:15 PM- 3:00 PM Invited Session 5: Harnessing the Power of Real World Data (RWD) to Advance Cancer Care and Treatment
  • Chair: Kun Chen, University of Connecticut
  • From Policy to Practice: Navigating Statistical Challenges of using RWE to Support Drug Approval
    Kun Wang, FDA
  • Unlocking Social Determinants of Health Factors Through Geocoding of EHR Data: Measuring Structural Racism and Its Influence on Patient Outcomes from Bench to Bedside
    Xiaoliang (Wendy) Wang, Flatiron Health
  • Machine Learning-Based Trial Emulation to Dissect Real-World Generalizability of Oncology Clinical Trials
    Ravi Parikh, University of Pennsylvania Perelman School of Medicine
  • Strategies for Utilizing External Controls in Randomized Trials while Mitigating Bias in Treatment Effect Estimation
    Shu Yang, North Carolina State University
• 3:45 PM- 5:15 PM Invited Session 6: Overall Survival in Oncology Clinical Trials
  
  • Chair: Ying Lu, Stanford University
  • Panelists: LJ Wei, Harvard T.H. Chan School of Public Health
    
  • Susan Halabi, Duke University Medical Center
    
  • Wenjuan Gu, FDA
    
  • Dacheng Liu, Boehringer-Ingelheim
    
  • Wm Kevin Kelly, Thomas Jefferson University
• 5:15 PM- 5:20 PM Closing Remarks
  

Saturday May 11

• 8:00 AM-9:00 AM Light Breakfast
  

• 12:00 PM-1:00 PM Lunch Putnam Dining Hall
  Participants from McHugh and Science1 will have lunch at the Putnam Refrectory Dining Hall. Please note, the provided cards need to be returned after the Lunch.

• 8:30 AM-5:00 PM Short Course 4: Miscellaneous topics on Randomized Clinical Trials: Surrogate Marker Evaluation and Covariate Adjustment Strategies
  
  • location : Science 1 G01
    Lu Tian, Stanford University
    
• 8:30 AM- 5:00 PM Short Course 5: Bayesian Statistics and Bayesian Models for Practical Dose Finding and Dose Optimization Oncology Clinical Trials
  
  • location : McHugh 201
    Yuan Ji, University of Chicago and Ying Lu, Stanford University
    
• 8:30 AM-12:00 PM Short Course 6: Analysis of cancer omics data: the network perspective
  
  • location : McHugh 202
    Shuangge (Steven) Ma, Yale School of Public Health