Experience

University of Illinois Chicago

• United States
• Higher Education
• 700 & Above Employee

• PhD in Mathematics

  • Jul 2020 - Present

  Theoretical CS: Finite model theory, parametrized complexity and applications to interpretability. Theoretical CS: Finite model theory, parametrized complexity and applications to interpretability.



Gustave Roussy

• France
• Hospitals and Health Care
• 700 & Above Employee

• Research Engineer

  • Sep 2019 - Jul 2020

  Research engineer in deep learning, computer vision : brain tumor segmentation using different UNet inspired architectures, recurrence prediction using Pytorch. Research engineer in deep learning, computer vision : brain tumor segmentation using different UNet inspired architectures, recurrence prediction using Pytorch.



A*STAR - Agency for Science, Technology and Research

• Singapore
• Research Services
• 700 & Above Employee

• Research Assistant

  • Feb 2019 - Aug 2019

  2019 SIGPA Pre-Graduate award recipient Research on Bayesian deep learning and its applications to active learning, uncertainty calibration, transductive optimization problems, deep kernel learning for gaussian processes, extensive use of Pytorch. 2019 SIGPA Pre-Graduate award recipient Research on Bayesian deep learning and its applications to active learning, uncertainty calibration, transductive optimization problems, deep kernel learning for gaussian processes, extensive use of Pytorch.



Allstate Northern Ireland

• United Kingdom
• IT Services and IT Consulting
• 700 & Above Employee

• Internship Engineer data analytics

  • Jun 2018 - Sep 2018

  In the Claim Auto department, worked on the data science Total Loss Scoring project that aims at reducing operating costs using data analytics. In an agile environment, designed and built a pipeline to read and query the results of the different scoring models using Pyspark. In the Claim Auto department, worked on the data science Total Loss Scoring project that aims at reducing operating costs using data analytics. In an agile environment, designed and built a pipeline to read and query the results of the different scoring models using Pyspark.



Societe Generale

• France
• Banking
• 700 & Above Employee

• Internship Data project management

  • Jun 2017 - Sep 2017

  Joined the IT department to work on the creation and deployment of a BI / Big Data collecting platform. As part of the project management team monitored the implementation of controls on the loans (IFRS9 norms). Acquired a global vision of the data flows and model. Implemented tests SQL queries. Joined the IT department to work on the creation and deployment of a BI / Big Data collecting platform. As part of the project management team monitored the implementation of controls on the loans (IFRS9 norms). Acquired a global vision of the data flows and model. Implemented tests SQL queries.