Resume
About me
Graduate in Computer Science from CentraleSupélec and Imperial College London
I am a Research Assistant at A*STAR - Agency for Science, Technology and Research. I work in the Institute for Infocomm Research. My research focuses on Deep Bayesian Active Learning. Active Learning is a field of Machine Learning applied when there is a large pool of unlabeled data available but labelling it is very costly. It is the case for example in medical imaging where labelling the data requires expert time which is expensive. Basically it consists in building the most accurate model under a finite labelling budget.
I fell in love with Machine Learning during my schooldays at CentraleSupélec and ever since I have done my best to improve my skills and extend my knowledge thanks to my professional experiences and my academic curriculum.
Please feel free to connect with me on LinkedIn, or reach out over email at damien.lancry@gmail.com .
Education
M.Sc. Advanced Computing
Imperial College London
London, United Kingdom
Oct 2017 – Oct 2018
1-year intensive program to specialize in Computer Science and Machine Learning at Imperial College (12th in the world in 2018 according to QS World university rankings).
Relevant Courses: Mathematics for Machine Learning, Dynamical Systems and Deep Learning, Reinforcement Learning, Advanced Machine Learning and Pattern Recognition, Data Analysis and Probabilistic Inference
Programme Grande École
CentraleSupélec
Paris, France
Sep 2015 – Jul 2019
Supélec Engineering Program. Top-tier Engineering School in Electrical Engineering, Computer Science and Telecommunications. 1st year GPA: 3.9/4
Classes Préparatoires aux Grandes Écoles
Lycée Pasteur
Paris, France
Sep 2013 – Jul 2015
2-year Intensive preparation in Mathematics and Physics for the highly competitive entrance exams to the French *Grandes Écoles*.
Experience
Research Assistant
A*STAR
Singapore
Feb 2019 – Aug 2019
Research Assistant in A*STAR's Institute for Infocomm and Research (I2R).
Supervised by Foo Chuan Sheng.
- Background Research on state-of-the-art Bayesian Deep Learning and Active Learning
- Application of Deep Bayesian Active Learning to a dataset provided by A*STAR's Institute of Microelectronics
Data Analyst Intern
HomeRez
Paris, France
Jun 2017 – Sep 2017
- Data Acquisition by scraping Airbnb, HomeAway using Crawlera
- Development and Deployment of a vacation rental pricing algorithm
- Validation of the model by comparing performance of houses
Customer Support Intern
Mikazuki Hotel
Kamogawa, Japan
Jun 2016 – Aug 2016
- Employee in a hotel in Japan as a customer supporter
- Daily use of the Japanese language
- Beforehand, Japanese formation and immersion in a Japanese host family
Skills
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Programming Languages: Proficiency in Python, Experience with Matlab, Octave, Java, JS, C++
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Python Libraries: PyTorch, TensorFlow, Keras, Pandas, ScikitLearn, Numpy, OpenCV, MongoDB, Matplotlib, Skorch, modAL, multiprocessing, pymongo
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Operating Systems: Linux (Ubuntu), Windows
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Languages: French (native), English (full professional proficiency), Spanish (limited working proficiency), Japanese (elementary proficiency)