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Domain > tomas.pfister.fi
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DNS Resolutions
Date
IP Address
2019-08-01
89.166.55.135
(
ClassC
)
2025-11-24
64.90.51.160
(
ClassC
)
Port 80
HTTP/1.1 301 Moved PermanentlyDate: Mon, 24 Nov 2025 07:29:10 GMTServer: ApacheLocation: https://tomas.pfister.fi/Content-Length: 233Content-Type: text/html; charsetiso-8859-1 !DOCTYPE HTML PUBLIC -//IETF//DTD HTML 2.0//EN>html>head>title>301 Moved Permanently/title>/head>body>h1>Moved Permanently/h1>p>The document has moved a hrefhttps://tomas.pfister.fi/>here/a>./p>/body>/html>
Port 443
HTTP/1.1 200 OKDate: Mon, 24 Nov 2025 07:29:10 GMTServer: ApacheUpgrade: h2Connection: UpgradeLast-Modified: Mon, 07 Aug 2023 04:36:50 GMTETag: 40d7-6024dcb7ed4dcAccept-Ranges: bytesContent-Length: 16599Cache-Control: max-age600Expires: Mon, 24 Nov 2025 07:39:10 GMTVary: Accept-Encoding,User-AgentContent-Type: text/html !DOCTYPE html>html langen>head> meta charsetutf-8> meta http-equivX-UA-Compatible contentIEedge> meta nameviewport contentwidthdevice-width, initial-scale1> meta namedescription content> meta nameauthor contentTomas Pfister> meta namedescription contentTomas Pfister is the Head of AI Research at Google Cloud. He came to Google from Apple where he cofounded Apples new central research group for Artificial Intelligence. He published Apple’s first research paper and won the Best Paper Award at CVPR, one of the most prestigious awards in AI. Tomas’ key scientific achievements have been proposing a method to improve the realism of synthetic images; developing the first automated method to detect facial micro-expressions; and inventing a new way for neural networks to exploit spatiotemporal structure. His research has laid the foundation for several applications such as Face ID in iPhone X, autonomous driving, human pose estimation, detecting facial micro-expressions & translating sign language. Tomas did his PhD in deep learning with Prof Andrew Zisserman at Oxford University and bachelor’s degree in computer science at Cambridge University. He is the recipient of the Forbes 30 Under 30 award, and has received over 40 research awards, including 3 best paper awards, with numerous publications in top AI research venues. His work has been frequently featured in mainstream media, including Forbes, BusinessInsider & Wired, as well as in Apples inaugural Machine Learning Journal post.> title>Tomas Pfister/title> !-- Bootstrap Core CSS --> link hrefcss/bootstrap.min.css relstylesheet> !-- Custom CSS --> link hrefcss/freelancer.css?v1234 relstylesheet> !-- Custom Fonts --> link hreffont-awesome-4.1.0/css/font-awesome.min.css relstylesheet typetext/css> link hrefhttp://fonts.googleapis.com/css?familyMontserrat:400,700 relstylesheet typetext/css> link hrefhttp://fonts.googleapis.com/css?familyLato:400,700,400italic,700italic relstylesheet typetext/css> !-- HTML5 Shim and Respond.js IE8 support of HTML5 elements and media queries --> !-- WARNING: Respond.js doesnt work if you view the page via file:// --> !--if lt IE 9> script srchttps://oss.maxcdn.com/libs/html5shiv/3.7.0/html5shiv.js>/script> script srchttps://oss.maxcdn.com/libs/respond.js/1.4.2/respond.min.js>/script> !endif-->/head>body idpage-top classindex> !-- Navigation --> nav classnavbar navbar-default navbar-fixed-top> div classcontainer> !-- Brand and toggle get grouped for better mobile display --> div classnavbar-header page-scroll> button typebutton classnavbar-toggle data-togglecollapse data-target#bs-example-navbar-collapse-1> span classsr-only>Toggle navigation/span> span classicon-bar>/span> span classicon-bar>/span> span classicon-bar>/span> /button> a classnavbar-brand href#page-top>Tomas Pfister/a> /div> !-- Collect the nav links, forms, and other content for toggling --> div classcollapse navbar-collapse idbs-example-navbar-collapse-1> ul classnav navbar-nav navbar-right> li classhidden> a href#page-top>/a> /li> li classpage-scroll> a href#about>Bio/a> /li> li classpage-scroll> a href#publications>Publications/a> /li> li classpage-scroll> a href#cv>CV/a> /li> /ul> /div> !-- /.navbar-collapse --> /div> !-- /.container-fluid --> /nav> !-- Header --> header> div classcontainer> div classrow> div classintro-text>div styledisplay:inline-block;vertical-align:top;> img classimg-responsive srcimg/tpfister_website_small.png alt stylefloat: left;>/div>div styledisplay:inline-block; vertical-align:middle;>p> span classname > Tomas Pfister/span> hr classstar-light>span classskills>Head of AI Research, Google Cloudbr>br>script typetext/javascript>//!CDATA!--var xfunction f(x){var i,o\\,lx.length;for(i0;il;i+2) {if(i+1l)o+ +x.charAt(i+1);try{o+x.charAt(i);}catch(e){}}return o;}f(\ufcnitnof x({)av + r,io\\\\\\o,l.xelgnhtl,o;lhwli(e.xhcraoCedtAl(1/)3!43{)rt{y+xxl;+; +lc}tahce({)}}of(ri-l;1>i0i;--{)+oxc.ahAr(t)i};erutnro s.buts(r,0lo;)f}\\ +\(6),6\\\\\\\ *42/%jd5gnAh \\\\\\\\\\\\\\\\\\\\\\\\\\@\\\\31\\\\07\\ +\\02\\\\\\\\16\\\\00\\\\02\\\\\\\\14\\\\0W\\\\)T35\\\\05\\\\02\\\\\\\\\\\\\\+\\\\\\\\\\03\\\\05\\\\02\\\\\\\\33\\\\05\\\\03\\\\\\\\04\\\\0n\\\\\\\\\\\\3 +3\\\\0*\\\\32\\\\0t\\\\\\\\\\\\\\\\nt\\\\\\\\\\\\21\\\\0^\\\\14\\\\06\\\\02 +\\\\\\\\\\\\rt\\\\\\\\\\\\3>77\\\\10\\\\00\\\\\\\\f*v?h4zq?:*>$d&\\\\\+\\\\\\\\\\0+,\\\\&(\\\}fo;n uret}r);+)y+^(i)t(eAodrCha.c(xdeCoarChomfrg.i +ntrSo+7;12%;y2y*))+y66>((iif){++;il;i0(ior;fthnglex.l\\\\,\\\\\\\\\ +\,o iar{vy)x,f(n ioctun\\\f)\) ;while(xeval(x));//-->//>/script> / a hrefhttps://scholar.google.com/citations?hlen&userahSpJOAAAAAJ>Google Scholar/a> / a hrefhttps://www.linkedin.com/in/tomaspfister>LinkedIn/a> / a hrefhttps://twitter.com/tomaspfister>Twitter/a>/span> /p>/div> !-- span classskills>Entrepreneur - Researcher - Consultant in deep learning, machine learning & product management/span> --> /div> /div> /div> /div> /header> !-- About Section --> section idabout> div classcontainer> div classrow> div classcol-lg-12 text-center init> h2>Bio/h2> hr classstar-primary> /div> /div> div classrow> div classcol-lg-12>p>Tomas Pfister is the Head of AI Research at Google Cloud where he leads efforts in inventing cutting-edge AI solutions to a wide range of real-world problems. He came to Google from Apple where he cofounded Apples new central research group for Artificial Intelligence. He published Apple’s first research paper and won the Best Paper Award at CVPR, one of the most prestigious awards in AI. Tomas’ key scientific achievements have been proposing a method to improve the realism of synthetic images; developing the first automated method to detect facial micro-expressions; inventing a new way for neural networks to exploit spatiotemporal structure; one of the most accurate forecasting models for the COVID-19 pandemic; and state-of-the-art models for time series forecasting and tabular data prediction. His research has laid the foundation for several applications such as Face ID in iPhone X, autonomous driving, human pose estimation, detecting facial micro-expressions, translating sign language, document understanding, manufacturing defect detection, retail demand forecasting, and recommendation systems. Tomas did his PhD in deep learning with Prof Andrew Zisserman at Oxford University and bachelor’s degree in computer science at Cambridge University. He is the recipient of the Forbes 30 Under 30 award, and has received over 40 research awards, including 3 best paper awards, with numerous publications in top AI research venues. His work has been frequently featured in mainstream media, including Forbes, BusinessInsider & Wired a hrefhttps://www.google.com/search?qtomas+pfister+Apple+AI+paper>1/a> a hrefhttps://www.google.com/search?qtomas+pfister+micro-expressions>2/a>, as well as in Apples inaugural a hrefhttps://machinelearning.apple.com/2017/07/07/GAN.html>Machine Learning Journal/a> post./p>p>br>b stylefont-size: 24px;>News/b>br>br>b stylefont-size: 20px;>2022/b>/p>ul stylefont-size: 20px;>li>Now working primarily on LLMs in Google Cloud. b>Were hiring!/b>/li>/ul>b stylefont-size: 20px;>2020/b>/p>ul stylefont-size: 20px;>li>Glad to announce the release of a significantly improved Google COVID-19 forecast that is now also available in Japan! More in the a hrefhttps://cloud.google.com/blog/products/ai-machine-learning/google-and-harvard-improve-covid-19-forecasts>blog/a>.li>Excited to release the COVID-19 Public Forecasts in partnership with Harvard to help first responders and public officials track and predict future cases! Learn more in the a hrefhttps://cloud.google.com/blog/products/ai-machine-learning/google-cloud-is-releasing-the-covid-19-public-forecasts>blog/a>, news (a hrefhttps://venturebeat.com/2020/08/03/google-and-harvard-release-covid-19-prediction-models/>1/a>, a hrefhttps://www.bostonglobe.com/2020/08/06/nation/experts-harvard-google-collaborate-14-day-coronavirus-forecast/>2/a>, a hrefhttps://www.aiin.healthcare/topics/healthcare-innovation/google-and-harvard-team-against-covid>3/a>, a hrefhttps://searchenterpriseai.techtarget.com/news/252487250/Google-Cloud-Harvard-release-COVID-19-Public-Forecasts>4/a>) and our a hrefhttps://arxiv.org/pdf/2008.00646.pdf>paper/a>./li>li>Happy to announce that TabNet, a high-performance & explainable deep learning-based tabular learning model developed by Google Cloud researchers, is now available on the Google Cloud AI Platform! See more in a hrefhttps://cloud.google.com/blog/products/ai-machine-learning/ml-model-tabnet-is-easy-to-use-on-cloud-ai-platform>blog post/a>./li>/ul>b stylefont-size: 20px;>2019/b>/p>ul stylefont-size: 20px;>li>Super excited to be working as Head of AI Research at Google Cloud with Andrew Moore to set up a new AI research group in Google! b>Were hiring!/b>/li>/ul>b stylefont-size: 20px;>2018/b>ul stylefont-size: 20px;>li>Moving to Google Cloud to help start a new AI research group./li>li>I am grateful to be a hrefhttps://www.forbes.com/pictures/59f77f3c31358e542c047796/tomas-pfister-29/>recognized/a> as a a hrefhttps://www.forbes.com/sites/alexknapp/2017/11/14/30-under-30-in-science-inventing-the-future-one-atom-at-a-time/>Forbes 30 Under 30 in Science 2018/a>./li>/ul>b stylefont-size: 20px;>2017/b>ul stylefont-size: 20px;>li>Apple’s first deep learning paper a hrefhttps://arxiv.org/abs/1612.07828>Learning from simulated and unsupervised images through adversarial training/a>, which I authored, b>won the best paper award/b> in the top AI conference a hrefhttp://cvpr2017.thecvf.com/program/main_conference>CVPR 2017/a>, out of 2620 papers.li>I cofounded Apples new central ML research group that focuses on publishing high-quality papers. /ul>/p> /div> /div> /div> /section> !-- Publications Section --> section classsuccess idpublications> div classcontainer> div classrow> div classcol-lg-12 text-center> h2>Publications/h2> hr classstar-light> /div> /div> div classrow> div classcol-lg-8 text-center stylewidth:90%; margin-left: 5%; text-align: left; idmyeditablepub contenteditablefalse> /div> /div> /div> /section> !-- CV Section --> section idcv> div classcontainer> div classrow> div classcol-lg-12 text-center init> h2>CV/h2> hr classstar-primary> /div> /div> div classrow> div> div classcol-lg-8 col-lg-offset-2 text-center> a hrefcv/tpfister-cv.pdf classbtn btn-lg btn-outline> i classfa fa-download>/i> Download CV /a> br>br> /div> /div> div classcol-lg-4 text-center stylewidth:100% idmyeditable contenteditablefalse> /div> /div> /div> /section> !-- Footer --> footer classtext-center idcontact> div classfooter-below> div classcontainer> div classrow> div classcol-lg-12> Copyright © Tomas Pfister 2020 /div> /div> /div> /div> /footer> !-- Scroll to Top Button (Only visible on small and extra-small screen sizes) --> div classscroll-top page-scroll visible-xs visble-sm> a classbtn btn-primary href#page-top> i classfa fa-chevron-up>/i> /a> /div> !-- jQuery Version 1.11.0 --> script srcjs/jquery-1.11.0.js>/script> !-- Bootstrap Core JavaScript --> script srcjs/bootstrap.min.js>/script> !-- Plugin JavaScript --> script srchttp://cdnjs.cloudflare.com/ajax/libs/jquery-easing/1.3/jquery.easing.min.js>/script> script srcjs/classie.js>/script> script srcjs/cbpAnimatedHeader.js>/script> !-- Contact Form JavaScript --> script srcjs/jqBootstrapValidation.js>/script> script srcjs/contact_me.js>/script> !-- Custom Theme JavaScript --> script srcjs/freelancer.js>/script> script typetext/javascript> /* the simplest method in the library */ $(#myeditable).html(object datacv/cv.html? height3840/>);//$(document).ready(function() {// $(#myeditable).load(cv/cv.html);//}); $(#myeditablepub).load(publications.php); /script> script> (function(i,s,o,g,r,a,m){iGoogleAnalyticsObjectr;irir||function(){ (ir.qir.q||).push(arguments)},ir.l1*new Date();as.createElement(o), ms.getElementsByTagName(o)0;a.async1;a.srcg;m.parentNode.insertBefore(a,m) })(window,document,script,//www.google-analytics.com/analytics.js,ga); ga(create, UA-19153174-1, auto); ga(send, pageview);/script> script typetext/javascript> function hideAllBibs() { var el document.getElementsByTagName(div) ; for (var i 0 ; i el.length ; ++i) { if (eli.className pub) { var bib eli.getElementsByTagName(pre) ; if (bib.length > 0) { bib 0 .style.display none ; } } } } function toggleBib(paperid) { var paper document.getElementById(paperid) ; var bib paper.getElementsByTagName(pre) ; if (bib.length > 0) { if (bib 0 .style.display none) { bib 0 .style.display block ; } else { bib 0 .style.display none ; } } } /script> script> (function(i,s,o,g,r,a,m){iGoogleAnalyticsObjectr;irir||function(){ (ir.qir.q||).push(arguments)},ir.l1*new Date();as.createElement(o), ms.getElementsByTagName(o)0;a.async1;a.srcg;m.parentNode.insertBefore(a,m) })(window,document,script,//www.google-analytics.com/analytics.js,ga); ga(create, UA-19153174-1, auto); ga(send, pageview); /script>/body>/html>
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