About
Welcome! My name is Gabrielle, I’m a neuroscientist aspiring to work at the intersection of machine learning, biology, and healthcare to improve healthcare for neurobiological diseases and mental health disorders, especially those which commonly emerge during childhood or adolescence. As a PhD candidate in neuroscience, my research focuses on identifying how the developmental state of prefrontal neural circuitry during adolescence influences our ability to learn about what is dangerous, safe, or rewarding and how we regulate our emotional responding to all the new things we encounter as adolescents. The goal of this research is to identify developmental windows during which maladaptive emotional processing first emerges, to investigate why anxiety disorders afflict up to one in seven adolescents worldwide and translate biological insights into novel treatments tailored to adolescent brains.
I intend to use this website to talk about my research and things at the intersection of healthcare and data science! I’m a firm believer in both open and slow science: all of my published data and code can be found on my github. I can also be contacted via email if have any questions about my work or just want to chat! I care deeply about science being rigorous and accessible, and I think a major way a scientist can improve the rigor and accessibility of research is to care deeply about finding new ways to model data robustly and responsibly. To this end, I’m on a dedicated journey to learn more about machine learning and data science at every opportunity I get.
Here are some other places across the web you can find me: