CV

One-page resume: Resume_public.pdf

Education

• Ph.D. in Machine Learning (Deep Learning), IMT Atlantique, 2020
• M.S. (summa cum laude) in Signal and Image Processing, University of Rennes 1, 2017
• Diplôme d’Ingénieur in Machine Learning, IMT Atlantique, 2017

Work experience & professional activities

• 02/2020-03/2020: Applied AI Scientist, CLS (Collecte Localisation Satellites)
  • Worked with AIS experts at CLS to evaluate my research prototype—GeoTrackNet: on real-life data: tested the limits of the model, explained the results.
  • Discussed with engineers at CLS to integrate GeoTrackNet into CLS’s Big data system MAS (Maritime Awareness System): how to run the model in a distributed system and in real-time.
• 09/2019-11/2019: Visiting graduate student, Dalhousie Institute for Big Data Analytics
  • Created a deep learning model to detect sablefish from maritime passive acoustic data.
  • The detector is under consideration for being used in real-life by Canadian marine biologists.
• 05/2019-06/2019: Visiting graduate student, University of Washington, College of Engineering
  • Established the collaboration between the University of Washington College of Engineering and IMT Atlantique.
• 09/2018-11/2018: Visiting graduate student, Dalhousie Institute for Big Data Analytics
  • Created a deep learning model to detect abnormal events in acoustic surveillance using Recurrent neural networks with stochastic layers.
• 03/2017-09/2017: Engineering intern, CLS (Collecte Localisation Satellites)
  • Made statistic reports of the fusion of SAR and AIS data for maritime traffic surveillance.
  • Improved the software that combines SAR and AIS data for maritime traffic surveillance.
  • Finished the task 1.5 months ahead of schedule with excellent results.
• 07/2016-03/2017: Research intern, INSERM (Institut national de la santé et de la recherche médicale)
  • Evaluated the resolution and the precision of 3D ultrasound.
• 06/2015-08/2015: Research intern, Thammasat University, SIIT
  • Impoved the glistening detection software using Tabu search - kNN and Neural Network.

Skills

• Linux
• Python (6 years of experience)
  • Pytorch, Tensorflow
  • Scikit-learn
• Git
• SQL, noSQL
• Kafka
• Variational inference, LSTM, NLP

Languages

• English: advanced
• French: advanced
• Vietnamese: mother tongue