Simal is a neuroscientist and researcher passionate to translate data and scientific research into meaningful information to improve health and wellbeing. She has a BA degree in Business Administration and a PHD degree in Neuroscience. She spent most of her career in academic research, investigating how certain brain regions communicate with each other during sleep and sleep like brain states. Using rodent models, high density electrophysiological recordings, behavioral experiments and cell manipulation techniques, she investigated ways to understand and facilitate neural interactions that underlie memory formation in normal as well as disrupted cognitive conditions. She obtained her PhD in 2010 from Rutgers University in New Jersey; then worked as first a postdoctoral researcher and then as a life science research associate at Stanford University until 2016. In 2016, she took a career break to provide full-time care for her daughter. In 2017, she started an independent project aiming to improve postpartum health through utilization of personalized data. She is currently pursuing a Masters degree in Public Health from UC Berkeley and working on a digital health startup aiming to bring data-oriented, personalized approach to healthcare for new parents. She is one of the new additions to dLab data science interns. Her favorite thing to do is smooching with her 3 year old daughter and talking about research, data and how to integrate them better into healthcare practice to improve quality of life.
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Simal is a neuroscientist and researcher passionate to translate data and scientific research into meaningful information to improve health and wellbeing. She has a BA degree in Business Administration and a PHD degree in Neuroscience. She spent most of her career in academic research, investigating how certain brain regions communicate with each other during sleep and sleep like brain states. Using rodent models, high density electrophysiological recordings, behavioral experiments and cell manipulation techniques, she investigated ways to understand and facilitate neural interactions that underlie memory formation in normal as well as disrupted cognitive conditions. She obtained her PhD in 2010 from Rutgers University in New Jersey; then worked as first a postdoctoral researcher and then as a life science research associate at Stanford University until 2016. In 2016, she took a career break to provide full-time care for her daughter. In 2017, she started an independent project aiming to improve postpartum health through utilization of personalized data. She is currently pursuing a Masters degree in Public Health from UC Berkeley and working on a digital health startup aiming to bring data-oriented, personalized approach to healthcare for new parents. She is one of the new additions to dLab data science interns. Her favorite thing to do is smooching with her 3 year old daughter and talking about research, data and how to integrate them better into healthcare practice to improve quality of life.
