About Me

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I started PhD in Machine Learning in the Winter’17 where I am supervised by Doina Precup and co-supervised by Joelle Pineau in the Reasoning and Learning Lab at McGill University. The lab is co-affiliated with the Montreal Institute of Learning Algorithms (MILA). I am also a research intern at Maluuba, Microsoft Research, where I collaborate with Philip Bachman. I also collaborate with Yarin Gal from Oxford University.

Previously, I was a Masters student at University of Cambridge in the MPhil Machine Learning, Speech and Language Technology program. I completed my Masters degree under the supervision of Zoubin Ghahramani and Yarin Gal at Cambridge Machine Learning Group. My Masters was funded by the Cambridge Commonwealth and International Trust, and I was a member of St John’s College, Cambridge. 

Prior to that I studied Electronic and Electrical Engineering at University College London working under supervision of John Shawe-Taylor and Guy Lever from the Centre of Computational Statistics and Machine Learning and Gatsby Computational and Neuroscience Unit at UCL. I also had a great fortune working with David Silver from Google DeepMind during my undergraduate thesis.

I was also a summer research student at California Institute of Technology (Caltech) in the Summer Undergraduate Research Fellowship program (SURF) where I worked under supervision of Richard Murray in the Control and Dynamical Systems Lab, under a project in collaboration with the NASA Jet Propulsion Laboratory (JPL), and Keck Institute for Space Studies.  Before that, I was a summer research student in the Machine Learning Group at Johns Hopkins University working under supervision of Suchi Saria.

Research Interests:

  • Deep Reinforcement Learning
  • Temporal Abstraction and Hierarchical Reinforcement Learning
  • Multi-Step Reinforcement Learning
  • Imitation Learning
  • Deep Learning
  • Bayesian Deep Learning
  • Probabilistic Models
  • Approximate and Variational Bayesian Inference
  • Deep Generative Models

 

NEWS :

  • Nov 2017 : Two papers in Bayesian Deep Learning workshop, NIPS 2017
  • Nov 2017 : Paper accepted in AAAI 2018.
  • Nov 2017 : Part-time at Maluuba, Microsoft Research
  • Oct 2017 : One paper submitted in ICLR 2018
  • Sep 2017 : One paper submitted in AAAI 2018
  • Sep 2017 : Two contributed papers at Montreal AI Symposium, 2017.
  • Sep 2017 : I am co-teaching graduate level Machine Learning course (COMP652 : Machine Learning) at McGill in Fall 2017 with Guillaume Rabusseau and my supervisor Doina Precup.
  • Aug 2017 : At ICML 2017 Reinforcement Learning workshop, I gave an Invited Talk on “Difficulty of Reproducing Benchmarked Results for Deep Reinforcement Learning on Continuous Control” (slides here)
  • Aug 2017 : At ICML 2017 I presented two papers : Conference paper – Deep Bayesian Active Learning with Image Data and Workshop paper : Reproducibility of Benchmarked Deep Reinforcement Tasks for Continuous Control
  • July 2017 : I gave a tutorial with Peter Henderson at Reinforcement Learning Summer School on “Practical Tutorial on Using Reinforcement Learning Algorithms for Continuous Control” (slides here)
  • July 2017 : Paper accepted in ICML’17 Reproducibility in Machine Learning workshop. “Reproducibility of Benchmarked Deep Reinforcement Learning Tasks in Continuous Control”
  • June 2017 : Started internship in Maluuba, Microsoft Research
  • May 2017 : Two papers submitted in NIPS 2017
  • May 2017 : Paper accepted in ICML 2017.
  • January 2017 : Started PhD at the RL Lab / MILA at McGill University.
  • November 2016 : Paper accepted in NIPS’16 Bayesian Deep Learning workshop. “Active Learning Image Data”
  • October 2016 : Got married 😀 Starting a new project!
  • October 2016 : I am teaching a course in Introduction to Reinforcement Learning at both IUB and AIUB in Bangladesh
  • August 2016 : I submitted my Masters thesis in the MPhil Machine Learning, Speech and Language Technology program
  • August 2016 : Completed the MPhil Machine Learning, Speech and Language Technology program with an average of 72%
  • October 2015 : Joined for a Masters in Machine Learning at University of Cambridge
  • August 2015 : Finished the Caltech SURF program
  • June 2015 : Finally done with undergraduate studies at UCL
  • April 2015 : Submitted my undergraduate thesis at UCL