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<!DOCTYPE html>
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< html >
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< head >
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< title > W3.CSS Template</ title >
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< meta charset ="UTF-8 ">
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< link rel ="stylesheet " href ="style.css ">
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< script src ="/js/navbar.js "> </ script >
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</ head >
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< body >
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- <!-- Navbar -->
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- < div class ="">
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- < header class ="w3-container w3-xlarge w3-padding-24 w3-black w3-left-align ">
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- < a href ="/index_old.html " class ="w3-bar-item ">
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- < img src ="img/logo.svg " class ="w3-image w3-animate-left w3-padding-12 " id ="logo " alt ="logo "> </ a >
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- < a class ="w3-button w3-hide-large w3-right w3-xlarge w3-hover-black w3-animate-right " id ="hamburger "
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- style ="max-width:60px " href ="javascript:void(0); " onclick ="openNav(this) ">
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- < i class ="fa fa-bars "> </ i >
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- </ a >
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- < a href ="/contact.html " class ="w3-right w3-button w3-animate-right w3-hide-medium w3-hide-small "> Contact</ a >
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- < a href ="/blog.html " class ="w3-right w3-button w3-animate-right w3-hide-medium w3-hide-small "> Blog</ a >
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- < a href ="/graphics.html " class ="w3-right w3-button w3-animate-right w3-hide-medium w3-hide-small "> Graphics</ a >
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- < a href ="/research.html " class ="w3-right w3-button w3-animate-right w3-hide-medium w3-hide-small "> Research</ a >
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- </ header >
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-
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- <!-- Navbar on small screens -->
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- < div id ="sidenav " class ="w3-bar-block w3-black w3-left-align w3-hide w3-hide-large ">
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- < a href ="/research.html " class ="w3-bar-item w3-button w3-animate-left w3-large gotham "> Research</ a >
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- < a href ="/graphics.html " class ="w3-bar-item w3-button w3-animate-left w3-large gotham "> Graphics</ a >
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- < a href ="/blog.html " class ="w3-bar-item w3-button w3-animate-left w3-large gotham "> Blog</ a >
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- < a href ="/contact.html " class ="w3-bar-item w3-button w3-animate-left w3-large gotham "> Contact</ a >
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- </ div >
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+ <!-- Navbar -->
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+ < div class ="w3-top ">
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+ < header class ="w3-container w3-xlarge w3-padding-24 w3-black w3-left-align ">
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+ < a href ="/index.html " class ="w3-bar-item ">
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+ < img src ="img/logo.svg " class ="w3-image w3-animate-opacity w3-padding-12 " id ="logo " alt ="logo "> </ a >
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+ < a class ="w3-button w3-hide-large w3-right w3-xlarge w3-hover-black w3-animate-right " id ="hamburger " style ="max-width:60px " href ="javascript:void(0); " onclick ="openNav(this) ">
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+ < i class ="fa fa-bars "> </ i >
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+ </ a >
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+ </ header >
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+
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+ </ div >
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+
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+ <!-- The App Section -->
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+ < div class ="w3-padding-64 w3-white w3-animate-under ">
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+ < div class ="w3-center ">
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+ < h1 class ="w3-xlarge w3-padding-64 "> Site under contstruction</ h1 >
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+ < img src ="img/wip.png " style ="width:60%; max-width: 400px; ">
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</ div >
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- < div class ="w3-container w3-padding-16 w3-animate-opacity ">
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- < div class ="w3-row w3-black w3-container w3-padding-16 ">
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- < h1 class ="w3-hide-small "> < b > About</ b > </ h1 >
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- < h1 class ="w3-center w3-hide-medium w3-hide-large "> < b > About</ b > </ h1 >
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- < hr >
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- < div class ="w3-col w3-center s12 m6 l4 w3-hide-large w3-hide-medium ">
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- < img src ="img/self_1.png " style ="width:70%; max-width: 600px; padding: 20px; ">
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- </ div >
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- < div class ="w3-col s12 m6 l8 ">
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- < h4 >
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- A guy with a fascination for ingenuity across domains. From aerospace engineering to urban planning.
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- Architecture to biotechnology. From the mundane to the extraordinary.
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- < br >
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- < br >
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- PhD student at the Artificial Intelligence Lab of the Vrije Universiteit Brussel. Specializing in Deep
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- Reinforcement Learning. Doing research in increasing explainability and trustworthiness of the methodology
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- to automatically generate usable controllers.
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- < br >
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- < br >
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- Someone with creative outlet, practicing digital drawing and graphical design. Enjoys fiction as a true
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- escapist while also making original work.
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- < br >
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- < br > Building on the past. Expanding in the present. Moving towards what's next.
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- </ h4 >
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- </ div >
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- < div class ="w3-col w3-right-align s12 m6 l4 w3-hide-small ">
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- < img src ="img/self_1.png " style ="width:60%; max-width: 400px; padding-top: 20px; ">
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- </ div >
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- </ div >
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- </ div >
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-
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- < div class ="w3-container w3-padding-16 w3-animate-opacity ">
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- < div class ="w3-row w3-white w3-container w3-padding-16 ">
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- < h1 class ="w3-hide-small w3-right-align "> < b > Education & career</ b > </ h1 >
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- < h1 class ="w3-center w3-hide-medium w3-hide-large "> < b > Education & career</ b > </ h1 >
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- < hr >
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- < div class ="w3-col s12 m12 l12 ">
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- < div class ="timeline ">
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- < div class ="container left ">
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- < div class ="content ">
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- < h2 > 2023 -present</ h2 >
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- < a href ="https://ai.vub.ac.be/team/senne-deproost/ " class ="">
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- < img src ="img/timeline/ai_lab_logo.svg " id ="timeline_logo "> </ a >
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- < h4 > PhD student</ h4 >
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- < p > Towards Explainable Deep Reinforcement Learning. Funding: FWO SBO</ p >
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- </ div >
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- </ div >
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-
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- < div class ="container right ">
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- < div class ="content ">
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- < h2 > 2021 - 2023</ h2 >
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- < a href ="https://www.sw.siemens.com/ " class ="">
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- < img src ="img/timeline/siemens_logo.svg " id ="timeline_logo "> </ a >
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- < h4 > Research / Software engineer</ h4 >
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- < p > Using Reinforcement Learning to automatically generate controllers in the MBSE methodology</ p >
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- </ div >
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- </ div >
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- < div class ="container left ">
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- < div class ="content ">
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- < h2 > 2018 - 2021</ h2 >
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- < a href ="https://www.vub.be " class ="">
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- < img src ="img/timeline/vub_logo.svg " id ="timeline_logo "> </ a >
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- < h4 > MSc in Engineering Sciences: Computer Science, Artificial Intelligence</ h4 >
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- < p > Thesis: < i > Neural Tree Distillation to explain Deep Reinforcement Learning Policies</ i > </ p >
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- </ div >
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- </ div >
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- < div class ="container right ">
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- < div class ="content ">
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- < h2 > 2019 - 2020</ h2 >
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- < a href ="https://www.upc.edu " class ="">
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- < img src ="img/timeline/upc_logo.svg " id ="timeline_logo "> </ a >
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- < h4 > Erasmus+ exchange student</ h4 >
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- </ div >
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- </ div >
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- < div class ="container left ">
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- < div class ="content ">
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- < h2 > 2021 - 2023</ h2 >
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- < a href ="https://www.vub.be " class ="">
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- < img src ="img/timeline/vub_logo.svg " id ="timeline_logo "> </ a >
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- < h4 > BSc in Computer Science</ h4 >
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- < p > Thesis: < i > Yaw optimization using Reinforcement Learning</ i > </ p >
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- </ div >
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- </ div >
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- </ div >
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- </ div >
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+ </ div >
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</ body >
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</ html >
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