Shannon Lamb (she/they) received her BS in Biomedical engineering and minor in neuroscience from the University of California, Davis. They are currently in their second year as a bioengineering doctoral student on the neural engineering track. Shannon is also the Vice President of the University of Pittsburgh’s Graduate Biomedical Engineering Society chapter. Since beginning her PhD journey, she has worked on various projects involving task-based functional magnetic resonance imaging. Their main project studies the changes in functional connectivity during antidepressant treatment of late life depression and utilizing deep learning algorithms to predict treatment response earlier in the process. Her second project studies the effects of anxiety on functional connectivity on younger populations. Their third project looks at the functional connectivity of post-menopausal women in association with various psychiatric assessment scores. Shannon’s goal is to run a lab of her own that studies the intersection of depression, bipolar disorder, and schizophrenia utilizing imaging and deep learning strategies in order to more accurately predict patients’ psychopharmaceuticals. The training Shannon is receiving under the guidance of Dr. Aizenstein, Dr. Wu, and the Bioengineering in Psychiatry Training Program is preparing them well for their ideal future career.