Education

Appointments

Awards

  • Selected as Postdoc-NeT-AI Fellows, DAAD, Germany, Oct 2020
  • Young Investigator Training Program Grant, Italy, June 2019
  • Travel Grant EEML on Deep Learning and Reinforcement Learning, Romania, July 2019
  • Vice Chancellor Award for Outstanding Contribution, Deakin University 2017
  • Selected as Best Papers for KAIS - ICDM 2017
  • Best Poster Award, Bayesian Optimization of Superalloy Design. 4th World Congress on Integrated Computational Materials Engineering 2017
  • Best Paper Runner up Award and Best Poster Award - ACML 2016, Bayesian Nonparametric Multi-label Classification.
  • Heidelberg Laurate Forum 2015, Top 200 young scientist around the world to interact with the Laurates in Germany
  • First Prize in Student Research Competition 2011, University of Science, Vietnam National University HCM
  • Travel Grant - Machine Learning Summer School, Singapore, 2011.
  • Honorary List 2009. University of Science, Vietnam National University HCM

Invited Talks

  • Jun 20. University of Liverpool, UK. Recent advances in Bayesian optimization.
  • Jun 20. Oxford-Man Institute 11st Machine Learning Workshop. Controlling quantum device measurement using DRL.
  • Jun 20. University of Twente, The Netheland. Recent advances in Bayesian optimization.
  • Jun 20. University of Glasgow, UK. Recent advances in Bayesian optimization.
  • Jan 20. Quinhon University, VN. Tutorial in Gaussian process and Bayesian optimisation.
  • Dec 19. VinAI Research, VN. Knowing the what but not the where in Bayesian optimization.
  • Nov 19. University of Oxford, Dept of Materials. DRL for controlling quantum device .
  • Aug 19. Monash University, Aus. Machine learning for decision making under uncertainty.
  • Aug 19. University of Melbourne, Aus. Machine learning for decision making under uncertainty.
  • Aug 19. RMIT, Aus. Machine learning for decision making under uncertainty.
  • Jun 19. University of Roma, Italy. Bayesian optimization for accelerating hyperparameter tuning.
  • May 19. University of Southampton, UK. Machine learning for decision making under uncertainty.
  • Apr 19. Oxford-Man Institute on Quantitative Finance. Deep reinforcement learning for marketing .
  • Oct 18. Credit AI, Australia. Bayesian optimization for experimental design .
  • Dec 17. Deakin-Defense Science Technology Workshop. Bayesian optimization for hyper-parameter tuning.

Grant and Funding

  • Google Cloud Platform Education Grant, Aug 2020-2021. $5000 USD
  • Young Investigator Training Program Grant, Italy, June 2019. €3000
  • NVIDIA, GPU Grant. 2019
  • Networked Quantum Information Technologies Hub (NQIT). Machine Learning for Quantum Technologies. 2018-2019. £105,978
    Named Researcher.
  • Telstra Grant - COE in Big Data and Machine Learning. 2016-2019. $1,600,000 AUD
    With PRADA team at Deakin University.

Teaching

  • Teaching Assistant. Course: Introduction to Programming. Undergraduate Course, Fall 2011. University of Science - VNU HCMC
  • Teaching Assistant. Course: Advanced Machine Learning. Master Course, Trinity Term 2019. University of Oxford
  • Guest Lecturer. Course: Introduction to Machine Learning. Undergraduate Course, Fall 2011. University of Science - VNU HCMC
  • Guest Lecturer. Course: Advanced Data Science. Undergraduate Course, Spring 2018. Deakin University
  • Lecturer. Course: Data Estimation and Inference. CDT AIMS. Postgraduate Course, Michaelmas Term 2019. University of Oxford
  • Senior Demonstrator. Course: Practical Gaussian Process and Bayesian Optimisation. Postgraduate Course, Hilary Term 2020. University of Oxford

Supervisions

  • Julian Berk. PhD at Deakin University. Associate Supervisor. 2017-2019.
    Topic: Methods for Improving Bayesian Optimization through Thompson Sampling.
  • Thomas Pretty. DPhil at University of Oxford. Interim Principal Supervisor. 2019-now.
    Topic: Bayesian Optimization.
  • Nina van Esbroeck. Visiting Msc student at University of Oxford. Master thesis supervisor. 2019-now
    Topic: Machine learning techniques for quantum technologies.
  • Samuel Kessler. DPhil at University of Oxford. Informal Supervisor. 2019-now
    Topic: Indian Buffet Neural Networks for Continual Learning.
  • Xinglong Wang. Undergraduate - EUROP summer placement at University of Oxford. Main supervisor. June 2020 - now
    Topic: Interpretable Gaussian Process.

Publications

Professional Service

Technical Program Committee
  • NeurIPS (2017-), ICML (2020-), ICLR (2020-), AAAI (2021-), AISTATS (2021-), IJCAI (2018-), ICDM (2018-), ACML (2018-)

References

    Available Upon Request