Speaker Profile

Ph.D., SVP Clinical Data Sciences, Gilead

Patrick Loerch has over 20 years of experience in data sciences, real world evidence and genomics research spanning all phases of R&D within the pharmaceutical industry. Dr Loerch currently serves as Senior Vice President, Clinical Data Sciences at Gilead Sciences. In addition to oversight of the Biometrics, Clinical Bioinformatics and Real World Evidence organizations, Dr. Loerch is accountable for the build out and integration of Enterprise Data Sciences capabilities to accelerate the discovery, development and delivery of new medicines. Dr. Loerch’s prior roles include leadership positions at Johnson & Johnson, Celgene and Merck. He began his career at Rosetta Inpharmatics, a genomics start-up in Seattle, WA that was later acquired by Merck. Dr. Loerch received his PhD in Biostatistics from the Harvard University and his BS in Biochemistry from Washington State University.

 Session Abstract – PMWC 2022 Silicon Valley

Track Chairs:
Sharmila Majumdar, UCSF
Matthew Lungren, Stanford

The use of Artificial Intelligence (AI) in diagnostic medical imaging is undergoing extensive evaluation. AI has shown impressive accuracy and sensitivity in the identification of imaging abnormalities and promises to enhance tissue-based detection and characterization. This track will explore technical advancements in clinical machine learning and use cases in radiology.


  • Regulatory Considerations for AI & Machine Learning in Medical Imaging
    - Bakul Patel, FDA
    - Sean Khozin, CancerLinQ
  • AI Roadmap: Opportunity and Challenges
    Session Chair: Sean Khozin, CancerLinQ
    - Brandon Allgood, Valo Health
    - Patrick Loerch, Gilead
    - Daniel J. Arbess, Xerion Investments LLC
    - Matthew Lungren, Stanford
  • Technical Advancements in Clinical Machine Learning - What's New in 2021
    Session Chair: Sharmila Majumdar, UCSF
    - Matthew Lungren , Stanford
    - Jayashree Kalpathy-Cramer, Harvard
  • Image Applications for Clinical Diagnosis
    Session Chair: Lawrence Schwartz, Columbia University Medical Center
    - Thorsten Fleiter, U. of Maryland
    - Imon Banerjee, Mayo Clinic
    - Anant Madabhushi, Case Western Reserve University
    - Pratik Mukherjee, UCSF
    - Esther L. Yuh, UCSF
  • Evaluation of AI Software for Radiological Applications
    Session Chair: Kyung Hyun Sung, UCLA
    - Akshay Chaudhari, Stanford
    - Mona Flores, NVIDIA
  • PMWC 2022 Showcase (NCI)
    - Eric Horler, AIQ Solutions