Dr Mohit RAJPAL

Dr Mohit Rajpal is a postdoctoral researcher at the Singapore-ETH Centre where he is researching AI for healthcare applications. He is collaborating with Biomechanical and Biomedical experts on how best to accelerate predictive modeling techniques to reduce injury risks in patient populations.

Dr Mohit Rajpal received his PhD in October 2024 from the National University of Singapore. His thesis, titled Scaling up decision-making under uncertainty, explored making approaches rooted in uncertainty modelling competitive to deep learning or reinforcement learning methods in AI. Prior to beginning his doctoral studies, Mohit worked on the "Neural fuzzing" project at Microsoft Research using deep neural networks and multi-armed bandits to help find security vulnerabilities in software. Dr Mohit Rajpal is a co-inventor of machine learning for constrained mutation-based fuzz testing.

Research interests

His research interests include:

• Machine Learning Systems
• Bayesian Optimization
• Gaussian Process

Education

• PhD National University of Singapore

Awards

• 2018, President's Graduate Fellowship, National University of Singapore.
• 2016, Course Assistant Fellowship, Columbia University.
• 2015, Course Assistantship, Columbia University.
   

Publications

View Mohit's publications external page here.

Social Media 

Connect with Mohit on external page LinkedIn.