Pranav Mahajan

Pranav is DPhil student with Dr Ben Seymour and Dr Ioannis Havoutis. His current research interests are focused on safe learning, generally trying to understand how humans and animals keep themselves safe, from a computational and algorithmic perspective and then using that knowledge to build safer machines. He employs emerging technologies such as virtual reality into his experiments and ideas from machine learning to build computational models of animal learning and cognition.

Pranav obtained his Bachelors in Electronics and Communications Engineering from BITS Pilani Goa, India prior to starting this DPhil here. He has previously worked with Dr Boris Gutkin on algorithmic modelling of drug-seeking behaviours and with Dr Veeky Baths on early detection of Alzheimer's dementia detection from speech.  He has developed a toolbox for quantifying higher-order interactions with Dr Daniele Marinazzo and Dr Fernando Rosas at INCF and a toolbox for quantifying synchronisation in neural time-series with Dr Basabdatta Sen Bhattacharya. He has industry RnD experience in scalable deep learning (MLperf) at Nvidia.