William De Vazelhes, Ph.D. Email & Phone Number

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates

R&D on Large Language Models.

Abu Dhabi, United Arab Emirates

Worked on optimization (first order and zeroth-order) and sparsity (hard-thresholding). Published in NeurIPS, ICLR, JMLR, and AAAI. Reviewer at ICML (2024), ICLR (2023) and NeurIPS (2023).

Région De Boulogne-Billancourt, France

Huawei and Université Paris-Est, on Information Theory and Machine Learning.Topics researched: Information Theory (in particular, Rate Distortion Theory with logarithmic loss), Minimax Density Estimation (in particular using KDE), Variational Autoencoders, Optimal Transport (in particular Wasserstein Barycenter).Interrupted to start a PhD anew at MBZUAI

Région De Lille, France

- Developed a scikit-learn compatible package for metric learning. (https://github.com/scikit-learn-contrib/metric-learn) (1.3K+ stars on Github, 60+ cit.). - Improved the speed, memory cost, and robustness of pre-existing algorithms by vectorizing computations in novel ways, changing the iterative methods for optimizing the algorithms, solving problems.

Région De Boulogne-Billancourt, France

- Improved the number of records successfully fuzzy matched in the company's heterogeneous database by approximately 30%, using Elasticsearch + query randomization in Python + ML-based results filtering in scikit-learn. Developed both the prototype and part of the production code (pickling, and efficient batch prediction API).- Prototyped mail.

Orange Gardens, Châtillon, France

Deep Reinforcement Learning for Human-Machine negociation dialogue. - Adapted and tuned several deep reinforcement algorithms (DQN, Actor-Critic) to maximise score for a human-machine sequential two-players task (agenda-setting task). - Implemented them to work in the Java simulation environment, with the Deeplearning4j framework. - Compared the.

Région De Montréal, Canada

"Metal artefacts correction in CT reconstruction with polar coordinates."I had to:- Analytically compute and implement a likelihood criterion (and its gradient) for reconstructing a 3D image (prior) having some observed X-ray projections of it, taking into account an innovative projection method for matrices with polar coordinates developed by the lab.

Antony

Benchmarking: - Functional benchmark of competitors' ventilators in order to support the specification of a new product- Sharing of outputs with project teamKnowledge management: - Creation of a wiki for the competition data shared between the R&D and marketing departments as a basis for innovationOrganized information research and restitution- Market.

Doctor Of Philosophy - Phd, Machine Learning, Gpa 3.96/4

Worked on optimization (first order and zeroth-order) and sparsity (hard-thresholding). Published in NeurIPS, ICLR, JMLR, and AAAI..

Master Of Science - Ms

Last Year Key Courses: Machine Learning (inc. Deep Learning), Reinforcement Learning, Data Analytics, Numerical Optimization, Image and.

Education record

- Telecommunication Networks, Communication Theory - Advanced Topics in Medical Image (labs: registration, segmentation, binary images.

Pcsi-Psi

French preparatory school (two-years highly selective classes to prepare for the competitive exam to the Top Engineering Schools)

Doctor Of Philosophy - Phd, Machine Learning, 3.96

Education record