In The News
The Salk Institute is embracing the artificial intelligence revolution and inventing new ways to investigate life. Machine learning, deep learning and other AI techniques are being used to probe massive data sets, identify useful information and make accurate predictions.
This year, Staff Scientist Natalie Luhtala celebrates her 10-year work anniversary at the Institute. In her current role, she’s directing a project examining an elusive signaling pathway to identify new targets for treating pancreatic cancer.
Laura Newman, a Salk postdoctoral researcher, fell in love with science in a lab in college and switched from a medical program to pursuing biochemistry and developmental biology. At Salk, her main focus is on how cells can recognize when they’re sick or damaged in order to activate the immune system for cell survival.
“Science is changing rapidly, with powerful new technologies, including cloud computing, artificial intelligence and new approaches to conduct multi-omic sequencing and analysis, creating new ways to approach some of biology’s biggest problems.”
Professor Kay Tye was selected as a Howard Hughes Medical Institute (HHMI) investigator, joining a prestigious group of more than 250 HHMI investigators across the United States who are tackling important scientific questions. Tye, who is a member of the Systems Neurobiology Laboratory and holds the Wylie Vale Chair, is known for her seminal work on the neural-circuit basis of emotion that leads to motivated behaviors, such as social interaction, reward-seeking and avoidance.
Assistant Professor Christina Towers was recognized as one of 2021’s Women of Influence in the Life Sciences by the San Diego Business Journal. Towers focuses on uncovering how cancer cells recycle both their own nutrients and the power-generating structures called mitochondria in order to survive. Her research could lead to decreased cancer recurrence and improved cancer patient outcomes.
Professor Tatyana Sharpee, who holds the Edwin K. Hunter Chair, was awarded the DeLano Award for Computational Biosciences from the American Society for Biochemistry and Molecular Biology. The award recognizes the innovative development or application of computer technology to enhance research in the life sciences at the molecular level. Sharpee’s lab studies how the brain and other biological systems work and uses information theory to quantify the activity of neurons.