A Study on Spike Sorting techniques and Analysis
Solving Cocktail Party Problem in real Biological neurons
ABOUT
I am a Master's student in the Computer Science department at Rutgers University, interested in building Deep-learning models that learn good representations from data with minimal supervision.
Research topics that interest me include Representation Learning, Bayesian Neural Networks, Personalized Recommendation systems, Neural Information Retrieval, Text mining, Unsupervised Generative models, Meta-Learning.
Before joining Rutgers, I earned my Bachelor's degree in Computer Science Engineering from NIT Trichy, India. I am a budding educator and AI influencer. One of my life goals is
to revolutionize education and media with AI, and build rich learning environments that can positively influence our society.
CV (last modified: Sept 2019): Link
PROJECTS
BLOG
RECENT NEWS
| DEC 2018 | Won a student travel grant to attend the 10-day Nepal Winter School in AI. Additionally served as a TA & Lab Instructor: Was a joy to interact with the diverse group of students. Planning to blog on my experience soon. Some pics from the amazing Chandragiri Trek! |
| NOV 2018 | Gave a presentation on "Eslami et.al, Neural scene representation and rendering, Science, 2018" - Rutgers Machine Learning Reading Group. |
Get In Touch
Feel free to email me if you have any suggestions or comments on my articles or projects.