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index 0000000..dae3e76 --- /dev/null +++ b/_app/immutable/entry/start.YdiDguuX.js @@ -0,0 +1 @@ +import{a as t}from"../chunks/entry.BVqIoPWi.js";export{t as start}; diff --git a/_app/immutable/nodes/1.BwZ9VbL8.js b/_app/immutable/nodes/1.BmVJ17gP.js similarity index 93% rename from _app/immutable/nodes/1.BwZ9VbL8.js rename to _app/immutable/nodes/1.BmVJ17gP.js index 89bea2a..ed4d5b6 100644 --- a/_app/immutable/nodes/1.BwZ9VbL8.js +++ b/_app/immutable/nodes/1.BmVJ17gP.js @@ -1 +1 @@ -import{s as S,n as _,c as x}from"../chunks/scheduler.BeaK0CkN.js";import{S as j,i as k,e as f,t as d,s as q,c as g,h,j as v,f as l,a as y,d as m,k as $,l as E}from"../chunks/index.BmRq3wWf.js";import{s as C}from"../chunks/entry.DgKipNs7.js";const H=()=>{const s=C;return{page:{subscribe:s.page.subscribe},navigating:{subscribe:s.navigating.subscribe},updated:s.updated}},P={subscribe(s){return H().page.subscribe(s)}};function w(s){var b;let t,r=s[0].status+"",o,n,i,c=((b=s[0].error)==null?void 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v,a as f,g as _,b as t,d as r,f as l}from"../chunks/index.BmRq3wWf.js";import{b}from"../chunks/paths.CVDL730F.js";function y(p){let e,a,s,d=`
Michael Horgan
phone: 650-804-2651 Linkedin
Software Development — Machine Learning Research and Development — +import{s as h,n as o}from"../chunks/scheduler.BeaK0CkN.js";import{S as u,i as m,e as c,s as g,c as v,a as f,g as _,b as t,d as r,f as l}from"../chunks/index.BmRq3wWf.js";import{b}from"../chunks/paths.CeJaEdDE.js";function y(p){let e,a,s,d=`
Michael Horgan
phone: 650-804-2651 Linkedin
Software Development — Machine Learning Research and Development — Real-time Signal Processing
Personal Projects
Modeling Chaotic Dynamics with Deep Learning: A Case Study on the Lorenz Attractor
I investigated the ability of a common neural forecasting architecture (NHITS) to model a chaotic dynamical system (the Lorenz Attractor). I trained the model on a PaperSpace VM using Pytorch and two RTX-5000 GPUs. (Github repo)
Jan - Apr 2024
A Scheduling Web App for Freedive SuperHome
I taught myself web programming and created a scheduling application pro @@ -13,9 +13,10 @@ import{s as h,n as o}from"../chunks/scheduler.BeaK0CkN.js";import{S as u,i as m, modules, written in C/C++, used for cinematic content creation
  • research and develop data-driven quality assurance tools for evaluating spatial audio content generation algorithms, written in Python
  • research and develop deep neural networks for speech synthesis, - written in Pytorch and trained on NVIDIA GPU clusters
  • Aug 2015 - Jul 2018
    Senior Software Engineer, Advanced Technology Group
    • design, implement, and test software libraries for spatial audio - processing, perceptual audio coding, and loudness management, - written in C/C++ for Intel, ARM, and Texas Instruments platforms
    Oct 2011 - Aug 2015
    Applications Engineer, DSP Implementation Group
    • provide technical guidance to dsp core designers and integrated + written in Pytorch and trained on NVIDIA GPU clusters
    Aug 2015 - Jul 2018
    Senior Software Engineer, Advanced Technology Group
    • design, implement, and test software libraries for real-time + spatial audio processing, perceptual audio coding, and loudness + management, written in C/C++ for Intel, ARM, and Texas + Instruments platforms
    Oct 2011 - Aug 2015
    Applications Engineer, DSP Implementation Group
    • provide technical guidance to dsp core designers and integrated circuit developers implementing Dolby’s IP on proprietary architectures
    • validate and issue design approvals of licensees’ core designs, IC implementations, and professional audio/video processing @@ -26,4 +27,4 @@ import{s as h,n as o}from"../chunks/scheduler.BeaK0CkN.js";import{S as u,i as m, 11,538,455 B2
    C. Zhou, X. Liu, M. Horgan, V. Kumar. Systems and Methods for Adapting Human Speaker Embeddings in Speech Synthesis. US 2022/0335925 A1
    X. Li, G. Cengarle, Q. Bin, M. Horgan. Generating Channel and Object-based Audio from Channel-based Audio. WO 2023/076039 A1
    B. Kadioglu, M. Horgan, J. Pons Puig, X. Liu. Deep Source Separation - Architecture. WO 2021/081002 A1
    Education
    Stanford University
    Master of Arts in Music, Science, and Technology
    Jun 2008
    Stanford University
    Bachelor of Arts in Music, Science, and Technology
    Jun 2008
    `;return{c(){e=c("link"),a=g(),s=c("div"),s.innerHTML=d,this.h()},l(i){e=v(i,"LINK",{href:!0,rel:!0,type:!0}),a=f(i),s=v(i,"DIV",{class:!0,"data-svelte-h":!0}),_(s)!=="svelte-1adm43o"&&(s.innerHTML=d),this.h()},h(){t(e,"href","https://fonts.googleapis.com/css?family=Lato:400,300,700"),t(e,"rel","stylesheet"),t(e,"type","text/css"),t(s,"class","container bg-white mx-auto shadow-sm shadow-gray-300 rounded-sm p-10 mt-12")},m(i,n){r(i,e,n),r(i,a,n),r(i,s,n)},p:o,i:o,o,d(i){i&&(l(e),l(a),l(s))}}}class C extends u{constructor(e){super(),m(this,e,null,y,h,{})}}export{C as component}; + Architecture. WO 2021/081002 A1
    Education
    Stanford University
    Master of Arts in Music, Science, and Technology
    Jun 2008
    Stanford University
    Bachelor of Arts in Music, Science, and Technology
    Jun 2008
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    Michael Horgan
    phone: 650-804-2651 Linkedin
    Software Development — Machine Learning Research and Development — +
    Michael Horgan
    phone: 650-804-2651 Linkedin
    Software Development — Machine Learning Research and Development — Real-time Signal Processing
    Personal Projects
    Modeling Chaotic Dynamics with Deep Learning: A Case Study on the Lorenz Attractor
    I investigated the ability of a common neural forecasting architecture (NHITS) to model a chaotic dynamical system (the Lorenz Attractor). I trained the model on a PaperSpace VM using Pytorch and two RTX-5000 GPUs. (Github repo)
    Jan - Apr 2024
    A Scheduling Web App for Freedive SuperHome
    I taught myself web programming and created a scheduling application pro @@ -31,9 +31,10 @@ modules, written in C/C++, used for cinematic content creation
  • research and develop data-driven quality assurance tools for evaluating spatial audio content generation algorithms, written in Python
  • research and develop deep neural networks for speech synthesis, - written in Pytorch and trained on NVIDIA GPU clusters
  • Aug 2015 - Jul 2018
    Senior Software Engineer, Advanced Technology Group
    • design, implement, and test software libraries for spatial audio - processing, perceptual audio coding, and loudness management, - written in C/C++ for Intel, ARM, and Texas Instruments platforms
    Oct 2011 - Aug 2015
    Applications Engineer, DSP Implementation Group
    • provide technical guidance to dsp core designers and integrated + written in Pytorch and trained on NVIDIA GPU clusters
    Aug 2015 - Jul 2018
    Senior Software Engineer, Advanced Technology Group
    • design, implement, and test software libraries for real-time + spatial audio processing, perceptual audio coding, and loudness + management, written in C/C++ for Intel, ARM, and Texas + Instruments platforms
    Oct 2011 - Aug 2015
    Applications Engineer, DSP Implementation Group
    • provide technical guidance to dsp core designers and integrated circuit developers implementing Dolby’s IP on proprietary architectures
    • validate and issue design approvals of licensees’ core designs, IC implementations, and professional audio/video processing @@ -48,7 +49,7 @@