Arslan Chaudhry
email: arslanch@deepmind.com

| Resume | GScholar | Rhodes | | Github | LinkedIn | PhD Thesis |

I am a Research Scientist at DeepMind in Mountain View. My research focus is on machine learning models that can accrue knowledge over time and in doing so become more sample and compute efficient. Towards this, I study continual-, transfer-, meta- and multitask learning. I did my PhD in Machine Learning with Prof. Philip H. S. Torr at the University of Oxford as a Rhodes Scholar. Before that, I studied Electrical Engineering at the University of Engineering and Technology, Lahore.

• Research Scientist (Apr 2021 - Present), DeepMind, Mountain View, CA
  
  • Applied Research Team.
 
• Research Intern (Jun 2020 - Oct 2020), Google Research, New York
  
  • Worked with Srikumar Ramalingam and Andreas Veit.
  • Project: Dataset Efficiency in Deep Models.
 
• Research Intern (Jun 2019 - Sep 2019), Facebook AI, Menlo Park, CA
  
  • Worked with David Lopez-Paz and Albert Gordo.
  • Project: Hindsight Experience Replay in Continual Learning.
 
• Visiting Researcher (October 2018 - February 2019), Facebook AI Research, London, UK
  
  • Worked with Marc'Aurelio Ranzato, Marcus Rohrbach and Mohamed Elhoseiny.
  • Project: Experience Replay in Continual Learning.
 
• Research Intern (Jun 2018 - Sep 2018), Facebook AI Research, Menlo Park, CA
  
  • Worked with Marc'Aurelio Ranzato, Marcus Rohrbach and Mohamed Elhoseiny.
  • Project: Efficient Lifelong Learning.
 
• Software Developer (Jun 2013 - Aug 2016), Mentor Graphics, Lahore, Pakistan
  
  • Project: Worked on the design and development of Mentor Embedded Hypervisor..

• Tutorials, Machine Learning, Trinity 2018, Hilary 2020, Stanford House
• Tutorials, Networking, Trinity (2018, 2019), University of Oxford
• Tutorials, Operating Systems, Hilary (2018, 2019), University of Oxford
• Lab, Software Engineering, Hilary (2017, 2018, 2019), University of Oxford
• Teaching Assistant, Operating Systems, Spring 2013, UET

• Continual Learning in Deep Neural Networks, July 2020, KAUST
• Continual Learning in Deep Neural Networks, July 2020, Google Research
• Continual Learning in Deep Neural Networks, April 2020, Google DeepMind
• Machine Learning Introduction, December 2017, UET Lahore

• Conference Reviewer: ICML (2019-2021), NeurIPS (2019-2022), ICLR (2021-2023), CVPR (2019-2020), ICCV (2019), ECCV (2020)
• Journal Reviewer: IEEE TPAMI, TMLR, IEEE Transaction on Multimedia