Domain > jvparidon.io

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DNS Resolutions

Date	IP Address
2025-02-03	172.104.150.193 (ClassC)

Port 443

HTTP/1.1 200 OKServer: nginx/1.18.0 (Ubuntu)Date: Mon, 25 Nov 2024 20:49:46 GMTContent-Type: text/html; charsetutf-8Content-Length: 13787Connection: keep-alive

!DOCTYPE html>html>    head>        meta charsetutf-8>        !--meta nameviewport contentwidthdevice-width, initial-scale1>-->        title>About JP van Paridon/title>        link relstylesheet hrefcss/md.css>        script defer srchttps://use.fontawesome.com/releases/v6.2.0/js/all.js>/script>        !-- Global site tag (gtag.js) - Google Analytics -->        script async srchttps://www.googletagmanager.com/gtag/js?idUA-155213635-1>/script>        script>            window.dataLayer  window.dataLayer || ;            function gtag(){dataLayer.push(arguments);}            gtag(js, new Date());            gtag(config, UA-155213635-1);        /script>    /head>    body>      h1>JP van Paridon, PhD/h1>p>i classfa-solid fa-envelope>/i> a hrefmailto:jvparidon@gmail.com>jvparidon@gmail.com/a>br />i classfa-brands fa-github>/i> a hrefhttps://github.com/jvparidon>github.com/jvparidon/a>br />i classfa-brands fa-linkedin>/i> a hrefhttps://linkedin.com/in/jp-van-paridon>linkedin.com/in/jp-van-paridon/a>br />i classfa-solid fa-file>/i> a hrefhttps://jvparidon.io/resume>jvparidon.io/resume/a>/p>h2>Profile/h2>p>I am a computational cognitive scientist and data scientist with a background in language sciences. I use online and in-person experiments and large public datasets to inform statistical and computational models of human behavior and cognition./p>h2>Employment/h2>h3>Postdoctoral Researcher, University of Wisconsin-Madison, 2020-present/h3>ul>li>Investigated how people learn about word meaning from other peoples language use/li>li>Designed and analyzed strong>online experiments/strong> using statistical and ML techniques including strong>Bayesian hierarchical regression/strong> models, dimensionality reduction, and clustering algorithms/li>li>Used strong>NLP/strong> models like word embeddings (e.g. word2vec) and transformer models (e.g. strong>BERT/strong>, ALBERT) to model language use and learning mechanisms/li>/ul>h3>PhD Candidate, Max Planck Institute for Psycholinguistics, the Netherlands, 2015-

Subdomains

Date	Domain	IP
www.jvparidon.io	2025-01-24	172.104.150.193

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Domain > jvparidon.io

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