I attended London School of Economics for a masters in Applicable Mathematics and did my bachelors in mathematics with minors in statistics and computer science from MDU.
I am, foremost, driven by the goal to create personalized humane-agents that can influence and alter human decision making.
My areas of interest include automated pipelines, emotion recognition, embodied cognition, natural language processing, evolutionary computation, large scale distributed systems, and complex dynamical systems.
AutoML MultiAgent Systems Emotion Recognition Recommender Systems Open-Ended Evolution Human Computer Interaction Distributed Systems and Parallel Computing
Prior to research, I worked with various startups across U.S., U.K. and India in business intelligence roles for companies to better understand user behavior, growth and engagement. CV available on request.
- Competed in Animal-AI Olympics for NeurIPS 2019.
- June 2019: Attended ICML 2019 in Long Beach
- October 2018: Committee Co-Chair for PyData Los Angeles where I presented a talk on Big Problems at the Heart of Machine Learning and a tutorial on
A Hands-On Application of Causal Methods in Python
- June 2018: Competed in AutoML for LifeLong Machine Learning Challenge for NeurIPS 2018