CV

Education

[PhD] Inria, MIND team (former Parietal), FRANCE
- 2020 → Present
- PhD in structured Variational Inference for large-scale problems
- Working under the supervision of Dr Demian Wassermann on the Neurolang project, building a probabilistic logic programming Python library for Neurosciences
- Investigating streamlined Bayesian posterior estimation in the context of complex high-dimensional hierarchical models, with applications in Neuroimaging
- Developing expressive density estimators lifting graphical model’s structure, and algorithms to automate the detection of such exploitable structure
[MSc] Imperial College London, UK
- 2017 → 2018 (1 year)
- MSc Human and biological robotics - Distinction - Valedictorian
- Majoring in Machine Learning, computational neurosciences, Brain Machine Interfaces and Intelligent Robotics
[Bachelor & MSc] Ecole Polytechnique, FRANCE
- 2014 → 2018 (3 years)
- Ingénieur Polytechnicien & International dual-degree MSc – GPA 3.97/4.0

Uptime – Data scientist for elevator predictive maintenance
- 2019 → 2020 (6 months)
- Fully engineered a custom ML pipeline to collect the data from the company’s IoT and using it to perform breakdown detection on elevators.
- Engaged in a dual approach, both in an agile software team delivery process, and in an individual R&D process
- ML modelling and exploitation of streams of discrete asynchronous events sent by the IoT devices
- Also played a role of BI support to provide meaningful insights to the product team through comprehensive, actionable statistical analysis.
GrAI Matter Labs – ML & Applications R&D Engineer
- 2018 → 2019 (1 year)
- End-to-end design of embedded brain-inspired Machine Learning and algorithmic systems for the chip to perform online in a fast and energy efficient manner
- CV - tracking and video classification, event-based processing; NLP, keyword spotting and voice commands; neural networks quantization scheme and ML API design

Imperial College - Master Thesis in Autonomous Robotics
- Summer 2018
- Working under the supervision of Prof. Petar Kormushev on the full development of an autonomous Air-Hockey playing robot arm
- Designing from scratch image processing tools, Bayesian prediction, motion planning and game strategies for fast-frequency applications
- Successful publication in TAROS at the end of the thesis on the sole basis of the project