A SUPER JUPITER ORBITING A LATE TYPE STAR A REFINED ANALYSIS OF MICROLENSING EVENT OGLE 2012 BLG 0406
Tsapras, Y. et al. (2014). "A-SUPER-JUPITER-ORBITING-A-LATE-TYPE-STAR-A-REFINED-ANALYSIS-OF-MICROLENSING-EVENT-OGLE-2012-BLG-0406." ApJ. 782 48.
CV
Education
- B.S. in Geology and Theoritical Physics, University Lille1, 2011
- M.S. in Theoritical Chemistry and Planetary Science, University Paris VI, 2013
- Ph.D in Astronomy and Astrophysics, University Nice Côte d’Azur, 2016
Certifications
- Coursera: Machine Learning, 2020/07
- Coursera: Deep Learning Specialization, 2020/08
- Coursera: Tensorflow Certificate Specialization, 2020/08
- Coursera: Generative Adversarial Networks Specialization, 2021/02
- The Coding School-IBM: Introduction to Quantum Computing, 2020/09-2021/05
- IBM Quantum Challenge 2021 Achievement - FoundationalIBM Quantum Challenge 2021 Achievement - Foundational, 2021/06
- IBM Global Summer School (QML), 2021/07
- QBronze, QWorld, 2021/08
- IBM Quantum Challenge Africa 2021 Achievement Advanced, 2021/09
- IBM Quantum Challenge - Fall 2021 - Advanced, 2021/11
- IBM Certified Associate Developer - Quantum Computation using Qiskit v0.2X, 2022/01
Work experiences
2022/03 - now: Associate Professor
- University Laval, Quebec, QC, Canada
- Leading research in NLP and Representation learning. Developping research projects on reinforcement learning and GNN.
- Students supervision.
2021/09 - now: Member partnair / Research Scientist
- INTRIQ, Montreal, QC, Canada
- Leading research in QML. The objective is to find a quantum advantage and develop new quantum algorithms to solve real-world complex projects.
2019/03 - now: Senior Data Scientist / Research Scientist
- Beneva, Montreal, QC, Canada
- Leading research in NLP and Representation learning.
2018/08 - 2019/03: Lead Data Scientist / Research Scientist
- VEDECOM, Versailles, France
- Projects:
- Exploit sensor data radar, lidar, video MOOVE Project to extract parameters for the autonomous vehicle Modulization of car’s behavior with deep learning algorithms to reproduce the trajectory and curvature pathway. Events and scenarios detections with machine learning algorithms ( ANN, Random Forest…) with Matlab and Python. Data Fusion and decision making with Bayesian Network.
- Technical Lead in a European project. Orientation and technical choices in the global strategy of the project.
- Management:
- Management of a team composed of one data scientist, five engineers, one statistician, two technicians, and one Ph.D. student. Implementation of an agile methodology and a technical environment.
2017/07 - 2018/08: Lead Data Scientist
- Autobiz Sa, Suresnes, France
- Projects:
- Realization of statistical and predictive studies on car data, implementation of classification and regression algorithms for time series data establishment of a new database using AWS technologies implementation of treatment pipelines and data cleaning.
- Management:
- Recruitment and management of a team composed of two data scientists and two data analysts. Project management and monitoring.
2017/03 - 2017/07: Data Scientist
- Autobiz SA, Suresnes, France
- Main mission: Exploration work carried out on automobile sales data. Information extraction and modeling via machine learning.
2013/09 - 2016/10: Ph.D Student
- Lagrange and Meudon Laboratories, Nice and Meudon, France
- Subject: Study of the atmosphere of Venus with a refraction model when passing across the Sun the June, 5-6 2012
- Study of the atmosphere of Venus during the transit of 2012 thanks to the phenomenon of light refraction. The atmosphere deflects the light rays and creates a light arc called “aureole”. This information was extracted from the images and then modeled to find the atmospheric composition and temperatures during this phenomenon. These results allowed the validation of the measurements made by the Venus Express probe in orbit at that time. The simulations were carried out in the python/C/C++ languages and also in parallel computing.
Skills
- Machine Learning
- Deep Learning
- Research
- Visualization
- Data Science
- Data Analysis
- Data Mining
- Python
- Keras
- Numpy
- Pandas
Learning
- Quantum Computing
- Quantum information
- Quantum Machine Learning
- GNN
- Reinforcement Learning and Multi-agent RL
- Qiskit
- Pennylane
Publications
New view on exoplanet transits
Chiavassa, A., Pere, C., et al. (2015). "New view on exoplanet transits." A&A. 576, A13.
RED NOISE VERSUS PLANETARY INTERPRETATIONS IN THE MICROLENSING EVENT OGLE-2013-BLG-446
Bachelet, E., et al. (2015). "RED NOISE VERSUS PLANETARY INTERPRETATIONS IN THE MICROLENSING EVENT OGLE-2013-BLG-446." Journal 1. 1(3).
Study of the atmosphere of Venus with a refraction model when passing across the Sun the June, 5-6 2012
Pere, C., (2016). "Study of the atmosphere of Venus with a refraction model when passing across the Sun the June, 5-6 2012." Journal 1. 1(3).
Multilayer modeling of the aureole photometry during the Venus transit: comparison between SDO/HMI and VEx/SOIR data
Pere, C., et al.(2016). "Multilayer modeling of the aureole photometry during the Venus transit: comparison between SDO/HMI and VEx/SOIR data." A&A. 595, A115.
The thermal structure of the Venus atmosphere: Intercomparison of Venus Express and ground based observations of vertical temperature and density profiles
Limaye, Sanjay S. et al. (2017). "The thermal structure of the Venus atmosphere: Intercomparison of Venus Express and ground based observations of vertical temperature and density profiles." Journal 1. 1(3).
Estimation of Uncertainty Bounds on Disparate Treatment when using Proxies for the Protected Attribute
Racicot, Taha and Khoury, Richard and Pere, Christophe (2021). "Estimation of Uncertainty Bounds on Disparate Treatment when using Proxies for the Protected Attribute." Proceedings of the Canadian Conference on Artificial Intelligence.
Employing Feature Selection to Improve the Performance of Intrusion Detection Systems
Avila, Ricardo and Khoury, Raphaël and Pere, Christophe and Khanmohammadi, Kobra (2021). "Employing Feature Selection to Improve the Performance of Intrusion Detection Systems." The 14th International Symposium on Foundations \& Practice of Security.
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms
Mancilla, Javier and Pere, Christophe (2022). "A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms." arXiv.