Raj V Jain

Hello World!

I completed my B.Tech in Computer Science and Engineering from RV College of Engineering in 2016. In the last semester, my team and I worked on creating a new BCI paradigm, by collecting and filtering data from enthusiastic subjects and building ML models for prediction. This gave me hands-on experience in applying AI algorithms to neural data. Additionally, this also acquainted me with neuroscience concepts like EEG, SSVEP and how to build and validate hypotheses and experiments. I was hooked! I knew I had to pursue this further! After working as a Data Scientist and Software Developer for about 4 years, I joined IISc to do my PhD.

I am the recipient of the prestigious Prime Minister’s Research Fellowship in Jan 2022.

Research Interests

Intersection of AI and Neuroscience:

• Build AI models which can deepen our understanding of cognitive processes like decision-making and attention
• Use neuroscience to build more robust, efficient, explainable and realistic AI models

Current Research

1. Can deep recurrent networks predict sequential behaviour better than statistical models?
2. Can embedding layers capture inter-participant and inter-experiment variabilities?
3. Can AI explainability tools be used to understand brain-behavior relationships?
4. Does adding neural signals help predict behavior better? If yes, what are the features the model is using? Can we generate new testable hypotheses?