\n
\n); \n} \n} \nexport default Intro;","import React from 'react';\n \nfunction Project(props) {\n return (\n \n
\n\n
\n \n \n Return Home\n \n \n
\n \n ![\"\"]({require(\"../img/robed_pic.jpg\")})
\n\n
\n \n\n \n
\n Robed Beauvil-Owen
\n\n
\n \n
\n \n I'm a lifelong learner capable of handling ambiguity in an ever-changing environment. I specialize in building robust models, storytelling with data, building software, and providing insight through analytics and machine learning. I also conduct research in the areas of fixed point theory, frames, and generalized frames.
\n\n\n I am Haitian born and Miami raised. I also love philosophy, breakdancing, and sketching landscapes.\n
\n\n
\n \n \n Check out my LinkedIn and GitHub for more information!\n \n
\n - \n
- \n \n \n GitHub\n \n \n
- \n \n \n LinkedIn\n \n \n
\n \n
\n )\n}\n \nexport default Project;","import React from 'react'; \nimport Project from '../components/Project'\n\nclass Projects extends React.Component { \n constructor(props) {\n super(props);\n this.state = { \n project: \"1\",\n all: false,\n machineLearning: \"1\",\n datastructure: \"2\",\n webdev: \"3\",\n misc: \"4\",\n }\n this.handleClick.bind(this);\n this.enableDiv.bind(this);\n this.showAllDiv.bind(this);\n this.isState.bind(this);\n\n } \n\n handleClick = () => {\n this.props.setStateOfParent(\"0\");\n }\n\n enableDiv = (e) => {\n this.setState({ project: e })\n this.setState({ all: false})\n }\n\n showAllDiv = (e) => {\n console.log(e)\n this.setState({ all: e})\n\n }\n\n isState = (e) => {\n return (this.state.project === e || this.state.all)\n }\n\n\n\n render() { \n return (\n \n
\n); \n} \n} \nexport default Projects;","import React from 'react'; \n\n\nclass Research extends React.Component { \n constructor(props) {\n super(props);\n this.handleClick.bind(this);\n } \n\n handleClick = () => {\n this.props.setStateOfParent(\"0\");\n }\n\n render() { \n return (\n< div className='popup' style={(this.props.show) ? {display: \"block\"} : {display: \"none\"}} > \n \n
\n\n \n Return Home\n \n \n
\n \n
\n Projects
\n- \n
- \n this.showAllDiv(!this.state.all)}>\n \n All\n \n \n
- \n this.enableDiv(this.state.machineLearning)}>\n \n Machine Learning/Data Science\n \n \n
- \n this.enableDiv(this.state.datastructure)}>\n \n Data Structures and Algorithms\n \n \n
- \n this.enableDiv(this.state.webdev)}>\n \n Web Developement\n \n \n
- \n this.enableDiv(this.state.misc)}>\n \n Miscellaneous\n \n \n
\n
\n \n
\n\n\n \n
\n\n\n \n
\n\n\n \n
\n \n
\n \n); \n} \n} \nexport default Research;","import React from 'react'; \n\nclass ContactMe extends React.Component { \n constructor(props) {\n super(props);\n this.handleClick.bind(this);\n } \n\n handleClick = () => {\n this.props.setStateOfParent(\"0\");\n }\n\n render() { \n return (\n \n \n Return Home\n \n \n
\n \n
\n Research
\n\n
\n \n
\n \n \n
\n Fixed Point Theory
\n\n In 1981, Dale Alspach produced the first example of a non-expansive mapping T\n on a weakly compact convex subset of a Banach space that is fixed point-free. Using Zorn’s\n lemma, there exists a minimally weak compact, convex subset of which is T-invariant and\n fixed point free. I investigate special closed linear spans that \"should\" contains a copy of\n Lebesgue integrable functions on the unit interval.\n of G-frames in terms of G-Riesz bases. \n
\nFrame and Generalized Frames
\n\n Wenchang Sun introduced\n generalized frames and included ordinary frames. I currently use many ideas from Operator\n Theory to show characterizations of Frames in terms of Riesz bases and characterizations\n of G-frames in terms of G-Riesz bases. \n
\nLocal Optimization
\nI am also studying how the theory of finite normalized tight frames (FNTFs) is developed in Hilbert \n spaces (both finite and infinite-dimensional). An influential theorem is the characterization of all \n FNTFs in terms of the minima of a potential energy function. This was designed to measure the total \n orthogonality of a Bessel sequence. I am particularly interested in their connections in Deep Learning \n and Sparse Approximation. One fascinating connection is the deep frame potential: it's a measure of \n coherence that is approximately related to representation stability but has minimizers based solely on \n the network structure. \n
\n \n
\n); \n} \n} \nexport default ContactMe;","import React, {Component} from 'react';\nimport '../css/templatemo-ocean-vibes.css';\nimport '../App.css';\nimport '../App.scss';\nimport '../fontawesome/css/all.css';\nimport Intro from '../content/Intro'; \nimport Projects from '../content/Projects'; \nimport Research from '../content/Research'; \nimport ContactMe from '../content/ContactMe'; \n\nclass HomePage extends Component {\n constructor(props) {\n super(props);\n this.setStateOfParent.bind(this);\n this.state = { \n disabled: \"0\",\n }\n }\n \n viewId(e) {\n const id = e.target.id\n this.setState({ disabled: id })\n }\n \n setStateOfParent = (value) => {\n this.setState({disabled: value});\n }\n \n \n\n render(){ \n return ( \n \n
\n\n \n Return Home\n \n \n Let's take a moment to commemorate the pictures that were used for this website... \n
\n Contact Me
\n- \n
- \n \n \n Robedbeauvil@gmail.com\n \n \n
- \n \n \n GitHub\n \n \n
- \n \n \n LinkedIn\n \n \n
\n ![\"\"/]({require(\"../img/calc_bot.png\")})
\n ![\"\"/]({require(\"../img/robed_pic_work.jpg\")})
\n ![\"\"/]({require(\"../img/automobiles.jpeg\")})
\n ![\"\"/]({require(\"../img/bike_sharing.png\")})
\n ![\"\"/]({require(\"../img/cNN.png\")})
\n ![\"\"/]({require(\"../img/startbucks.avif\")})
\n ![\"\"/]({require(\"../img/DSA.png\")})
\n ![\"\"/]({require(\"../img/hangman.jpeg\")})
\n ![\"\"/]({require(\"../img/learnSQL.png\")})
\n ![\"\"/]({require(\"../img/learnSQL2.png\")})
\n ![\"\"/]({require(\"../img/logo2.png\")})
\n ![\"\"/]({require(\"../img/microblog.jpeg\")})
\n ![\"\"/]({require(\"../img/ml_workflow.png\")})
\n ![\"\"/]({require(\"../img/operationalize.png\")})
\n ![\"\"/]({require(\"../img/search_image.png\")})
\n ![\"\"/]({require(\"../img/sFITNESS.jpeg\")})
\n \n
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n
\n); \n}\n}\n\nexport default HomePage;\n","import React from 'react';\nimport ReactDOM from 'react-dom';\nimport './index.css';\nimport * as serviceWorker from './serviceWorker';\nimport HomePage from './content/HomePage';\n\nReactDOM.render(\n Robed Beauvil-Owen, PhD
\n Data Scientist, Machine Learning Fanatic, and Mathematician\n \"Like what you do, and then you'll \n do your best” -Katherine Johnson\n\n \n
\n \n \n
\n\n \n \n
\n); \n} \n} \nexport default Intro;","import React from 'react';\n \nfunction Project(props) {\n return (\n \n
\n\n
\n \n \n Return Home\n \n \n
\n \n \n\n
\n \n\n \n
\n Robed Beauvil-Owen
\n\n
\n \n
\n \n I'm a lifelong learner capable of handling ambiguity in an ever-changing environment. I specialize in building robust models, storytelling with data, building software, and providing insight through analytics and machine learning. I also conduct research in the areas of fixed point theory, frames, and generalized frames.
\n\n\n I am Haitian born and Miami raised. I also love philosophy, breakdancing, and sketching landscapes.\n
\n\n
\n \n \n Check out my LinkedIn and GitHub for more information!\n \n
\n - \n
- \n \n \n GitHub\n \n \n
- \n \n \n LinkedIn\n \n \n
\n \n
\n )\n}\n \nexport default Project;","import React from 'react'; \nimport Project from '../components/Project'\n\nclass Projects extends React.Component { \n constructor(props) {\n super(props);\n this.state = { \n project: \"1\",\n all: false,\n machineLearning: \"1\",\n datastructure: \"2\",\n webdev: \"3\",\n misc: \"4\",\n }\n this.handleClick.bind(this);\n this.enableDiv.bind(this);\n this.showAllDiv.bind(this);\n this.isState.bind(this);\n\n } \n\n handleClick = () => {\n this.props.setStateOfParent(\"0\");\n }\n\n enableDiv = (e) => {\n this.setState({ project: e })\n this.setState({ all: false})\n }\n\n showAllDiv = (e) => {\n console.log(e)\n this.setState({ all: e})\n\n }\n\n isState = (e) => {\n return (this.state.project === e || this.state.all)\n }\n\n\n\n render() { \n return (\n \n
\n); \n} \n} \nexport default Projects;","import React from 'react'; \n\n\nclass Research extends React.Component { \n constructor(props) {\n super(props);\n this.handleClick.bind(this);\n } \n\n handleClick = () => {\n this.props.setStateOfParent(\"0\");\n }\n\n render() { \n return (\n< div className='popup' style={(this.props.show) ? {display: \"block\"} : {display: \"none\"}} > \n \n
\n\n \n Return Home\n \n \n
\n \n
\n Projects
\n- \n
- \n this.showAllDiv(!this.state.all)}>\n \n All\n \n \n
- \n this.enableDiv(this.state.machineLearning)}>\n \n Machine Learning/Data Science\n \n \n
- \n this.enableDiv(this.state.datastructure)}>\n \n Data Structures and Algorithms\n \n \n
- \n this.enableDiv(this.state.webdev)}>\n \n Web Developement\n \n \n
- \n this.enableDiv(this.state.misc)}>\n \n Miscellaneous\n \n \n
\n
\n \n
\n\n\n \n
\n\n\n \n
\n\n\n \n
\n \n
\n \n); \n} \n} \nexport default Research;","import React from 'react'; \n\nclass ContactMe extends React.Component { \n constructor(props) {\n super(props);\n this.handleClick.bind(this);\n } \n\n handleClick = () => {\n this.props.setStateOfParent(\"0\");\n }\n\n render() { \n return (\n \n \n Return Home\n \n \n
\n \n
\n Research
\n\n
\n \n
\n \n \n
\n Fixed Point Theory
\n\n In 1981, Dale Alspach produced the first example of a non-expansive mapping T\n on a weakly compact convex subset of a Banach space that is fixed point-free. Using Zorn’s\n lemma, there exists a minimally weak compact, convex subset of which is T-invariant and\n fixed point free. I investigate special closed linear spans that \"should\" contains a copy of\n Lebesgue integrable functions on the unit interval.\n of G-frames in terms of G-Riesz bases. \n
\nFrame and Generalized Frames
\n\n Wenchang Sun introduced\n generalized frames and included ordinary frames. I currently use many ideas from Operator\n Theory to show characterizations of Frames in terms of Riesz bases and characterizations\n of G-frames in terms of G-Riesz bases. \n
\nLocal Optimization
\nI am also studying how the theory of finite normalized tight frames (FNTFs) is developed in Hilbert \n spaces (both finite and infinite-dimensional). An influential theorem is the characterization of all \n FNTFs in terms of the minima of a potential energy function. This was designed to measure the total \n orthogonality of a Bessel sequence. I am particularly interested in their connections in Deep Learning \n and Sparse Approximation. One fascinating connection is the deep frame potential: it's a measure of \n coherence that is approximately related to representation stability but has minimizers based solely on \n the network structure. \n
\n \n
\n); \n} \n} \nexport default ContactMe;","import React, {Component} from 'react';\nimport '../css/templatemo-ocean-vibes.css';\nimport '../App.css';\nimport '../App.scss';\nimport '../fontawesome/css/all.css';\nimport Intro from '../content/Intro'; \nimport Projects from '../content/Projects'; \nimport Research from '../content/Research'; \nimport ContactMe from '../content/ContactMe'; \n\nclass HomePage extends Component {\n constructor(props) {\n super(props);\n this.setStateOfParent.bind(this);\n this.state = { \n disabled: \"0\",\n }\n }\n \n viewId(e) {\n const id = e.target.id\n this.setState({ disabled: id })\n }\n \n setStateOfParent = (value) => {\n this.setState({disabled: value});\n }\n \n \n\n render(){ \n return ( \n \n
\n\n \n Return Home\n \n \n Let's take a moment to commemorate the pictures that were used for this website... \n
\n Contact Me
\n- \n
- \n \n \n Robedbeauvil@gmail.com\n \n \n
- \n \n \n GitHub\n \n \n
- \n \n \n LinkedIn\n \n \n
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n
\n); \n}\n}\n\nexport default HomePage;\n","import React from 'react';\nimport ReactDOM from 'react-dom';\nimport './index.css';\nimport * as serviceWorker from './serviceWorker';\nimport HomePage from './content/HomePage';\n\nReactDOM.render(\n Robed Beauvil-Owen, PhD
\n Data Scientist, Machine Learning Fanatic, and Mathematician\n \"Like what you do, and then you'll \n do your best” -Katherine Johnson\n\n \n
\n \n \n
\n\n \n