The long-term objective of the Ideker Lab is to create artificially intelligent, mechanistic models of cancer and neurodegenerative diseases for translation of patient data to precision diagnosis and treatment. We seek to advance this goal by addressing fundamental questions in the field: What are the genetic and molecular networks that promote disease, and how do we best chart these? How do we use knowledge of these networks in intelligent systems for predicting the effects of genotype on phenotype?

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Meet the Team

The Ideker Laboratory has welcomed many distinguished researchers over the years — ranging from undergraduates to visiting scientists. Click buttons below to view Dr. Ideker’s profile and meet our past and present lab members. 

Open Projects and Positions

The Ideker Laboratory is in continual open recruitment for excellent postdoctoral scholars, graduate students, and software engineers. 

News

Webinar: Building a Mind for Cancer with Trey Ideker, PhD

AI simulates how cancer cells respond to therapy, guiding optimal treatment strategies.

Despite the growing interest in using AI to forecast cancer drug responses, the complexity of tumor biology poses significant challenges. This webinar with Trey Ideker will delve into AI models that predict drug reactions in cancer, highlighting crucial molecular pathways for better drug development.

Topics to be covered

  • Constructing an interpretable deep learning model for predicting drug responses
  • Developing neural network predictive models for various tissue types and clinical settings

Join us on Tuesday, March 26th, 2024 | 1:00 PM – 2:00 PM Eastern Time
This webinar will be available to view live and on demand.

      Spotlight: UC San Diego School of Medicine uses AI to predict which drugs to use to treat cancer patients

      Discover our recent publication highlighted by four simultaneous news coverage articles. Delve into an informative interview with Dr. Ideker and Abbie Black from CBS News

      Related Press: 


          Spotlight on Cancer Cell Map Initiative
          A New Map
          Smartly Done
          Forbes 30 Under 30 Class of 2023

          Congratulations to Dr. Yue Qin, Ideker Lab Graduate, for getting two major awards! Yue was selected to join the Forbes 30 Under 30, Class of 2023 (read more here and here) and also awarded the 2023 UCSD Chancellor’s Dissertation Medal for the Jacobs School of Engineering.

          Dr. Ideker is a Clarivate Highly Cited Researcher two years in a row, in both 2020 and 2021. This highly anticipated annual list identifies researchers who demonstrated significant influence in their chosen field or fields through the publication of multiple highly cited papers during the last decade.  View the complete 2021 Highly Cited Researchers list.

          Research Centers & Affiliates