Satya Borgohain is a Research Fellow with SoDa Laboratories (Social Science Insights from Alternative Data) within the Department of Business and Economics where he works in the capacity of both as a Data Science researcher and DevOps engineer. He completed his Masters of Data Science from Monash University and conducted research on bio-plausible, neural network hierarchies along with meta-learning, primarily taking inspiration from the mammalian brain, as part of his minor thesis.

In general, he has a keen interest towards both applied machine learning (particularly in PolySci domain) as well as fundamental deep learning research. His prior experiences include working as a full-stack software developer for two years in the industry where he implemented and deployed predictive models for an in-house analytics platform.

His core areas of interest are:

• Statistical/Machine Learning
• Deep Learning
• Natural Language Processing (NLP)
• Neuro inspired AI, and
• Data engineering