Stephen Ibaraki, Season 08, Male, English, Business Leader, Pharma; Healthcare, USA

Dr. Jason Moore, Chair of Computational Medicine at Cedars-Sinai

Posted on by inknuts
15
Oct

Dr. Jason Moore, Chair of Computational Medicine at Cedars-Sinai

  • His lifelong fascination with biology and computation.
  • The influence of early home computers, including the Atari 800, and programming languages such as BASIC and Assembly.

Podcast

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Overview

In this insightful episode of The Brand Called You (TBCY), Dr. Jason Moore, Chair of the Department of Computational Medicine at Cedars-Sinai, shares his remarkable journey from an early interest in biology and computers to leading pioneering research in biomedical AI.

The conversation explores his formative experiences, career-defining milestones, open-source innovations, and forward-looking perspectives on the role of agentic AI in healthcare.

Explore the key moments and topics discussed in this episode through the following timestamps and guiding questions.

02:21 – What Shaped Dr. Jason Moore’s Early Interest in Science and Technology?

  • His lifelong fascination with biology and computation.
  • The influence of early home computers, including the Atari 800, and programming languages such as BASIC and Assembly.
  • The impact of key mentors, including his father, a clinical psychologist, and his high school biology teacher.
  • The connections between programming and biology throughout his education.

09:14 – How Did Undergraduate and Graduate Training Prepare Dr. Moore for a Unique Career?

  • Hands-on molecular biology research at Florida State University.
  • Research in cancer genetics at the University of Michigan.
  • Pursuing a PhD in human genetics alongside a master’s degree in statistics.
  • Exposure to complex systems, nonlinear dynamics, and artificial intelligence.
  • Building a strong quantitative and interdisciplinary foundation for his career.

15:14 – What Foundational Innovations Did Dr. Moore Lead at Vanderbilt and Dartmouth?

  • Advancing rapidly into tenured academic positions without completing a postdoctoral fellowship.
  • Directing and expanding high-performance computing (HPC) infrastructure.
  • Pioneering machine learning methods, including the MDR algorithm, to identify gene–gene and gene–environment interactions.
  • Building graduate programs and interdisciplinary research institutes.
  • Training students and expanding bioinformatics resources.

22:09 – How Did Dr. Moore Help Democratize AI at the University of Pennsylvania?

  • Taking on senior informatics roles and leadership responsibilities at the Penn Institute for Biomedical Informatics.
  • Co-creating TPOT, an open-source automated machine learning (AutoML) platform.
  • Developing reproducible benchmarking tools and no-code AI assistants, including Aliro.
  • Leading the Biomedical Informatics Roundtable Podcast and the AI for Learning Health Systems Symposium.

25:01 – What Makes Cedars-Sinai’s Computational Medicine and AI Initiatives Unique?

  • Building a new computational medicine department from the ground up.
  • Establishing a Health AI PhD program embedded within a hospital setting.
  • Founding Cedars-Sinai’s AI Council, directing CARE, and contributing to national AI campus initiatives.
  • Advancing patient-centered AI and integrating AI into clinical research.

32:12 – How Is Dr. Moore Advancing Knowledge-Augmented and Agentic AI for Biomedicine?

  • Developing agentic AI tools, including Kragan, Escargot, and EcoXAI, for intelligent knowledge-graph exploration and autonomous research.
  • Examining the limitations of large language models that lack domain-specific knowledge integration.
  • Open-sourcing biomedical knowledge graphs and agentic AI platforms, including ASARI for agent experimentation.
  • Exploring explainability, reproducibility, and the potential of autonomous data science.

39:10 – What Are Dr. Moore’s Views on Open-Weight Models and Responsible AI in Healthcare?

  • Evaluating and benchmarking open-source AI models from around the world.
  • Exploring more sustainable AI approaches using smaller models that can run locally on systems such as NVIDIA DGX and Mac Studio.
  • Emphasizing transparency, control, privacy, and the importance of open-source solutions in clinical settings.

47:16 – How Does Dr. Moore Apply AI to Disease Research, and What Are the Latest Developments?

  • Using agentic AI to suggest potential drug-repurposing candidates for Alzheimer’s disease.
  • Combining machine learning, biomedical knowledge graphs, and autonomous hypothesis generation.
  • Exploring the potential of maraviroc, an HIV medication, as a candidate for Alzheimer’s disease following AI-assisted discovery.
  • Collaborating with regenerative medicine researchers and using organoid models at Cedars-Sinai.

RESOURCES

Learn more about Dr. Jason Moore on LinkedIn.

ENJOYED THIS PODCAST?

One of Dr. Moore’s strategic career decisions was to move directly into a faculty position rather than pursue a postdoctoral fellowship. He also co-developed MDR, a groundbreaking method for identifying gene–gene and gene–environment interactions that traditional approaches often struggled to detect. This innovation helped open new avenues for understanding complex diseases.

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Profile

  • Dr. Jason Moore is Chair of the Department of Computational Medicine at Cedars-Sinai.

  • Combines his early interests in biology and computers to advance biomedical research.

  • Focuses on pioneering AI applications in healthcare, including open-source innovations.

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