https://ariostas.com/home/Recent content in Homes on Andres Rios TasconHugoenhttps://ariostas.com/home/home/Mon, 01 Jan 0001 00:00:00 +0000https://ariostas.com/home/home/<section id="showcase" class="rad-showcase rad-showcase--index rad-animation-group rad-fade-down"> <div> <div class="showcase-section row flex-column-reverse flex-md-row rad-fade-down rad-waiting rad-animate"> <div class="col-12 col-sm-12 col-md-6 col-lg-6 col-xl-6"> <h1 class="display-1"> Hi, I&#39;m Andres </h1> <h2 class="display-5"> <span> </span> </h2> <div class="lead"> I am a Research Software Engineer at Princeton University, working with the Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP). I focus on developing tools needed to tackle the challenges posed by the high volume and complexity of the data that will be collected at the High Luminosity Large Hadron Collider (HL-LHC) at CERN and other future HEP experiments. </div> <a href="#contact" class="btn btn-primary" > <i class="icon-email"></i> Contact </a> </div> <div class="col-12 col-sm-12 col-md-6 col-lg-6 col-xl-6 profile-image"> <picture class=""> <source srcset="https://ariostas.com/images/about/profpic_hu_447c652c3f593282.webp 1x, https://ariostas.com/images/about/profpic_hu_db97c0768facd5d.webp 2x" type="image/webp" /> <source srcset="https://ariostas.com/images/about/profpic_hu_baf376b57703edb0.png 1x, https://ariostas.com/images/about/profpic_hu_e19a1c39c94ed00e.png 2x" type="image/png"> <img width="336" height="336" class="lozad img-responsive " data-src="https://ariostas.com/images/about/profpic_hu_baf376b57703edb0.png" alt='' src="data:image/gif;base64,R0lGODlhBwACAIAAAP///wAAACH5BAEAAAEALAAAAAAHAAIAAAIDjI9YADs=" loading="lazy" decoding="async" /> </picture> </div> <div class="col-12 inner-content"> <div class="container"> <div class="row platform-links shortcode"> <div class="col-12"> <a href="https://github.com/ariostas" target="_blank" rel="noopener noreferrer" aria-label="square-github" ><i class="icon-square-github"></i> </a> <a href="https://linkedin.com/in/ariostas/" target="_blank" rel="noopener noreferrer" aria-label="linkedin" ><i class="icon-linkedin"></i> </a> </div> </div> </div> </div> </div> <div class="row platform-links"> <div class="col-12"></div> </div> </div> </section> <section id="experience" class="section-experience section section--border-bottom rad-animation-group flex-grow-1 container"> <div class="row flex-column-reverse flex-md-row rad-fade-down"> <div class="experience-list col-12 mt-5 mt-sm-0"> <h2 class="section__title mb-4">Experience</h2> <div class="experience row"> <div class="experience__header col-12 col-md-3 d-flex align-items-start"> <img src="https://ariostas.com/images/logos/princeton_seal_hu_afe09f6f812d4642.webp" alt=" logo" class="experience__company-logo" loading="lazy"> <div class="experience__meta"> <div class="experience__date">2023-present</div> <div class="experience__title">Research Software Engineer</div> <div class="experience__company">Princeton University. <span class="experience__location"> Princeton, NJ</span></div> </div> </div> <div class="experience__description d-print-block col-12 col-md-9 mt-3 mt-md-0"> <h1></h1> <p>I&rsquo;m developing tools needed to tackle the challenges posed by the high volume and complexity of the data that will be collected in future particle collider experiments. I&rsquo;m working on this from two sides. On one side, I&rsquo;m helping develop a highly parallelizable algorithm to reconstruct the tracks from particles coming out of collisions, starting from the hits that are registered by the various layers of the detector. This is necessary because the complexity will outgrow expected CPU capabilities, so we need to exploit massively parallel hardware like GPUs. On the other side, I&rsquo;m helping develop and maintain a Python software ecosystem that allows researchers to easily and efficiently analyze their data.</p>