Jishnu Mukhoti

Jishnu Mukhoti

DPhil (PhD) Student in Machine Learning

University of Oxford


I am a second year DPhil (PhD) student in the Department of Engineering Science at the University of Oxford, advised by Professor Philip Torr in the Torr Vision Group and Professor Yarin Gal in Oxford Applied and Theoretical Machine Learning Group. I am also closely supervised by Dr. Puneet Dokania. I obtained my Bachelor of Engineering degree in Computer Science and Engineering from Jadavpur University, Kolkata, India and completed my Master of Science (MSc) in Computer Science from the University of Oxford.

My current research focuses on uncertainty quantification in deep neural networks using Bayesian and non-Bayesian approaches in a scalable, computationally light-weight manner with applications in Computer Vision and Natural Language Processing.


  • Machine Learning
  • Bayesian Inference
  • Computer Vision


  • DPhil (PhD) in Machine Learning, 2019

    University of Oxford

  • MSc in Computer Science, 2017-2018

    University of Oxford

  • BE in Computer Science and Engineering, 2012-2016

    Jadavpur University



DPhil (PhD) Student

University of Oxford

Oct 2019 – Present Oxford, UK
Research on:

  • Uncertainty and Calibration of Deep Neural Networks
  • Application of uncertainty to Computer Vision and Natural Language Processing

Research Intern


Aug 2018 – Aug 2019 Oxford, UK
Research on Computer Vision and Deep Learning problems relevant to autonomous driving. Specific problems include calibration of deep neural networks and its application to image classification and OOD detection.

Graduate Student (MSc) in Computer Science

University of Oxford

Oct 2017 – Sep 2018 Oxford, UK
Pursued MSc in Computer Science with focus on Machine Learning

Software Development Engineer (SDE)

Amazon Development Centre

Jun 2016 – Aug 2017 Hyderabad, India
Responsibilities included:

  • Design and implement a method to support real-time data transfer from OLTP datastores to OLAP datastores.
  • Design and implement APIs that can scale and support Amazon’s seller platform launching in new countries with minimal effort.

Software Development Intern (SDE-Intern)

Amazon Development Centre

May 2015 – Jul 2015 Hyderabad, India
Designed and implemented a validation engine to automate the workflow of validating critical fields in database records. The process sped up from a week to less than 10 seconds due to the automation.

Undergraduate (BE) Student

Jadavpur University

Jun 2012 – May 2016 Kolkata, India
Pursued my Bachelor’s degree in Computer Science and Engineering.