Julia Wang

Julia Wang is a recent PhD graduate from Cold Spring Harbor Laboratory (CSHL), where she specialized in neuroscience.13 Her doctoral research was conducted in Dr. Tatiana Engel's laboratory, focusing on interpretable brain state manifolds for characterizing heterogeneity.1

Prior to her doctoral studies, Julia completed her undergraduate degree in Computer Science at Stanford University in 2019.25 Her academic background combines expertise in both computer science and neuroscience, positioning her at the intersection of these fields.

Currently, Julia Wang is working as a Research Fellow at the Albert Einstein College of Medicine in New York.12 In this role, she is collaborating with Drs. Adam Kohn and Ruben Coen-Cagli, likely applying her computational and neuroscience skills to ongoing research projects.1

Throughout her academic career, Julia has been involved in various research activities. She has published articles in the field of computational neuroscience, as evidenced by her Google Scholar profile.3 Additionally, she has participated in public engagement activities, such as a YouTube live stream titled "LIVE At the Lab: Coding," where she shared insights about coding in neuroscience research.4

Julia's research interests appear to lie in the application of computational methods to understand complex brain functions, particularly in developing interpretable models for neural data analysis.13 Her work on brain state manifolds suggests a focus on advanced data analysis techniques in neuroscience.

On social media, Julia maintains a professional presence. Her Twitter handle is @juliah_wang, where she likely shares updates about her research and interests in the fields of computer science and neuroscience.5