update resume
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src/resume/patents.bib
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src/resume/patents.bib
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@patent{safran,
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author = {Laurent Fainsin and Xavier Roynard and Michele Alessandro Bucci and Brian Staber},
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title = {Latent Generative Models for Conditional 3D Unstructured Mesh Blade Design (patent pending)},
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year = {2023}
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}
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\newcommand{\descript}[1]{
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\newcommand{\descript}[1]{
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\color{subheadings}\raggedright\scshape\fontspec[Path = ../fonts/raleway/]{Raleway-Medium}\fontsize{11pt}{13pt}\selectfont {#1 \\} \normalfont}
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\color{subheadings}\raggedright\scshape\fontspec[Path = ../fonts/raleway/]{Raleway-Medium}\fontsize{11pt}{13pt}\selectfont {#1 \\} \normalfont}
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% Descriptors command
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\newcommand{\descriptnonewline}[1]{
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\color{subheadings}\raggedright\scshape\fontspec[Path = ../fonts/raleway/]{Raleway-Medium}\fontsize{11pt}{13pt}\selectfont {#1} \normalfont}
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% Location command
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% Location command
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\newcommand{\location}[1]{
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\newcommand{\location}[1]{
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\color{headings}\raggedright\fontspec[Path = ../fonts/raleway/]{Raleway-Medium}\fontsize{10pt}{12pt}\selectfont {#1\\} \normalfont}
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\color{headings}\raggedright\fontspec[Path = ../fonts/raleway/]{Raleway-Medium}\fontsize{10pt}{12pt}\selectfont {#1\\} \normalfont}
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\descript{Master in Perf. Computing}
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\descript{Master in Perf. Computing}
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\descript{focused on Academic Research}
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\descript{focused on Academic Research}
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\location{2022 — 2023 | Toulouse, France}
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\location{2022 — 2023 | Toulouse, France}
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\vspace{3pt}
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Scientific Computing and Data Analysis \\
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Concurrent \& Parallel Programming \\
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Numerical Analysis \& Statistics \\
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Operations Research \\
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\sectionsep
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\sectionsep
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\subsection{ENSEEIHT INP-Toulouse}
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\subsection{ENSEEIHT INP-Toulouse}
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\descript{MEng in Computer Science}
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\descript{MEng in Computer Science}
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\descript{specialty in ML and CG}
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\descript{specialty in ML and CG}
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\location{2020 — 2023 | Toulouse, France}
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\location{2020 — 2023 | Toulouse, France}
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\vspace{3pt}
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Compilers \& System Architecture \\
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Object-Oriented Programming \\
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Audio-visual Data Processing \\
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Computer Graphics \\
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Machine Learning \\
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\sectionsep
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\sectionsep
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\subsection{LA PÉROUSE-KERICHEN}
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\subsection{LA PÉROUSE-KERICHEN}
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\descript{Preparatory class (CPGE)}
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\descript{Preparatory class (CPGE)}
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\descript{PCSI, PSI}
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\location{2018 — 2020 | Brest, France}
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\location{2018 — 2020 | Brest, France}
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\vspace{2pt}
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Intensive studies in Mathematics and Physics for national entrance exams
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\sectionsep
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\sectionsep
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{Skills}
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\section{Skills}
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\subsection{Programming}
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\subsection{Programming}
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Python \textbullet{} Julia \textbullet{} Shell \textbullet{} Java \\
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Python \textbullet{} Julia \textbullet{} Shell \textbullet{} Java \\
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C++ \textbullet{} Matlab \textbullet{} SQL \textbullet{} \LaTeX\
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C++ \textbullet{} CUDA \textbullet{} SQL \textbullet{} \LaTeX\
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\sectionsep
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\sectionsep
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\subsection{Languages}
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\subsection{Languages}
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\descript{Fluent}
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\descriptnonewline{Fluent} \ French \textbullet{} English \\
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French \textbullet{} English \\
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\descriptnonewline{Elementary} \ Japanese \textbullet{} Spanish
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\descript{Elementary}
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Japanese \textbullet{} Spanish
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\sectionsep
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\sectionsep
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\subsection{Certificates}
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\subsection{Certificates}
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French driver's license \\
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French driver's license \\
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Cambridge Linguaskill C1+
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Cambridge Linguaskill C1+ \\
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AI for Medical Diagnosis \\
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HuggingFace courses
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\sectionsep
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\sectionsep
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{About}
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\section{About}
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\subsection{Personal projects}
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Reproducible Nix Infrastructure \\
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Handwriting Denoising Diffusion \\
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GBA Collaborative Emulator \\
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AI or NOT Hackathon \\
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ML on Medical Datasets \\
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Diffusers.jl
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\sectionsep
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\subsection{School projects}
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JPEG \& MPEG Compression \\
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Semi-Supervised Classifiers \\
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3D Inverse Problem Solver \\
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Graph Machine Learning \\
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OpenGL Renderer
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\sectionsep
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\subsection{OSS Contributor}
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\subsection{OSS Contributor}
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NixOS \textbullet{} HuggingFace \\
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NixOS \textbullet{} HuggingFace \\
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LightningAI \textbullet{} AliceVision
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LightningAI \textbullet{} AliceVision
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\sectionsep
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\sectionsep
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\subsection{Hobbies}
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\subsection{Hobbies}
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OSS \textbullet{} Aquariums \\
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Aquariums \textbullet{} OSS \\
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Slacklining \textbullet{} Padel
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Slacklining \textbullet{} Padel
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{Professional Experience}
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\section{Professional Experience}
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\runsubsection{Safran} | \descript{Machine Learning Engineer Internship}
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\runsubsection{Safran} | \descript{Machine Learning Engineer Intern}
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\location{March 2023 — September 2023 | Paris, France}
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\location{March 2023 — September 2023 | Paris, France}
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\vspace{10pt} % Hacky fix for awkward extra vertical space
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\vspace{10pt} % Hacky fix for awkward extra vertical space
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\begin{tightemize}
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\begin{tightemize}
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\item Studied state of the art generative models for 3D data, such as PointNet++, Graph U-Net, PointFlow, Point Voxel Diffusion and LION.
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\item Studied state of the art generative models for 3D data, such as PointNet++, Graph U-Net, PointFlow, Point Voxel Diffusion and LION.
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\item Implemented a dozen architectures using libraries such as PyTorch Geometric, PyTorch Lightning, HuggingFace diffusers, HuggingFace Datasets, etc. Settled on Latent Diffusion Models.
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\item Implemented a dozen architectures using libraries such as PyTorch Geometric, PyTorch Lightning, HuggingFace Diffusers, HuggingFace Datasets, etc. Settled on Latent Diffusion Models.
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\item Trained models on specific aircraft industrial parts, conditioned on perfomance metrics, such as drag coefficients, lift coefficients, etc.
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\item Trained models on specific aircraft industrial parts, conditioned on perfomance metrics, such as drag coefficients, lift coefficients, etc.
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\item Released internally the models and code, enabling Safran engineers to generate new parts with specific performance metrics and to easily reuse the code for other applications.
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\item Released internally the models and code, enabling Safran engineers to generate new parts with specific performance metrics and to easily reuse the code for other applications.
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\end{tightemize}
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\end{tightemize}
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\sectionsep
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\sectionsep
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\runsubsection{REVA — IRIT} | \descript{Machine Learning Research Internship}
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\runsubsection{REVA — IRIT} | \descript{Machine Learning Scientist Intern}
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\location{June 2022 — September 2022 | Toulouse, France}
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\location{June 2022 — September 2022 | Toulouse, France}
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\begin{tightemize}
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\begin{tightemize}
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\item Fine-tuned a state of the art Deep Learning model to detect spherical markers in images for Photometric Stereophography calibration.
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\item Fine-tuned a state of the art deep learning model (DETR) to detect spherical markers in images for photometric stereophography calibration.
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\item Collaborated with 3 engineers from MIKROS and Technicolor as part of the ALICIA-Vision Labcom european project.
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\item Collaborated with 3 engineers from MIKROS and Technicolor as part of the ALICIA-Vision Labcom european project.
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\item Monitored hundreds of trainings using the MLOps platform Weights \& Biases. Achieved 90\% GIoU on test data, providing fast and accurate segmentation.
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\item Monitored hundreds of trainings using the MLOps platform Weights \& Biases. Achieved 90\% GIoU on test data, providing fast and accurate segmentation.
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\item Built using the Pytorch Lightning framework, exported to ONNX format, deployed to production in AliceVision with ONNXRuntime.
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\item Built using the Pytorch Lightning framework, exported to ONNX format, deployed to production in AliceVision with ONNXRuntime.
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\sectionsep
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\sectionsep
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% PUBLICATION
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% PUBLICATION & PATENTS
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{Publications}
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\section{Publications \& Patents}
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\vspace{20pt}
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\vspace{20pt}
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\bibliographystyle{abbrv}
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\bibliographystyle{abbrv}
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\bibliography{publications}
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\bibliography{publications,patents}
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\nocite{*}
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\nocite{*}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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