equalais.github.io/team.html at master · equalais/equalais.github.io · GitHub

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<!DOCTYPE html>
<html lang="en">

  <head>

    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
    <meta name="description" content="">
    <meta name="author" content="">

    <link rel="shortcut icon" href="favicon.ico" type="image/x-icon">
    <link rel="icon" href="favicon.ico" type="image/x-icon">

    <title>TEAM</title>

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    <link href="css/team.css" rel="stylesheet">

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      gtag('js', new Date());

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  </head>

  <body id="page-top">

    <nav class="navbar navbar-expand-lg navbar-dark bg-primary fixed-top" id="sideNav">
      <a class="navbar-brand js-scroll-trigger" href="#page-top">
        <span class="d-block d-lg-none">THE TEAM</span>
        <span class="d-none d-lg-block">
          <img class="img-fluid img-profile rounded-circle mx-auto mb-2" src="img/Logos/LogoTeam.png" alt="EqualAIs">
        </span>
      </a>
      <button class="navbar-toggler" type="button" data-toggle="collapse" data-target="#navbarSupportedContent" aria-controls="navbarSupportedContent" aria-expanded="false" aria-label="Toggle navigation">
        <span class="navbar-toggler-icon"></span>
      </button>

      <div class="collapse navbar-collapse" id="navbarSupportedContent">
        <ul class="navbar-nav">
          <li class="nav-item">
            <a class="nav-link js-scroll-trigger" href="../#team">HOME</a>
          </li>
          <li class="nav-item">
            <a class="nav-link js-scroll-trigger" href="#dp">Daniel Pedraza</a>
          </li>
          <li class="nav-item">
            <a class="nav-link js-scroll-trigger" href="#da">Dhaval Adjodah</a>
          </li>
          <li class="nav-item">
            <a class="nav-link js-scroll-trigger" href="#gg">Gretchen Greene</a>
          </li>
          <li class="nav-item">
            <a class="nav-link js-scroll-trigger" href="#jj">Josh Joseph</a>
          </li>
          <li class="nav-item">
            <a class="nav-link js-scroll-trigger" href="#tm">Thom Miano</a>
          </li>
          <li class="nav-item">
            <a class="nav-link js-scroll-trigger" href="#f">Francisco</a>
          </li>
        </ul>
      </div>

    </nav>


    <div class="collapse navbar-collapse" id="navbarSupportedContent">
      <ul class="navbar-nav">
        <li class="nav-item">
          <a class="nav-link js-scroll-trigger" href="#about">About</a>
        </li>
        <li class="nav-item">
          <a class="nav-link js-scroll-trigger" href="#experience">Experience</a>
        </li>
        <li class="nav-item">
          <img class="img-fluid img-profile rounded-circle mx-auto mb-2" src="img/Faces/pedraza_daniel_s.png" alt="Daniel Pedraza">
        </li>
        <li class="nav-item">
          <a class="nav-link js-scroll-trigger" href="#skills">Skills</a>
        </li>
      </ul>
    </div>


    <div class="container-fluid p-0">

      <section class="resume-section p-3 p-lg-5 d-flex d-column" id="dp">
        <div class="my-auto">
          <img class="img-fluid img-profile rounded-circle mx-auto mb-2" src="img/Faces/pedraza_daniel_s.png" alt="Daniel Pedraza">
          <h1 class="mb-0">Daniel Pedraza
          </h1>
          <div class="subheading mb-5">Project Manager
          </div>
          <p class="mb-5">
              Daniel Pedraza is an engineer, entrepreneur, and technologist from Mexico. He is passionate about leveraging technology at scale, has danced across several disciplines, and deeply relates to techno-optimist philosophies. Daniel is currently a Data Strategist at UNICEF. In addition, he recently co-founded Veilos, a deep-learning startup rethinking global insights for development & security. Daniel's energy is full of optimism and a youthful naïveté, however he is fully aware there are inherent risks with all new technology. He has spent time looking at the open challenges to harnessing technology for public good, previously serving the United Nations as Data Innovation Specialist at Global Pulse, an innovation initiative harnessing big data for sustainable development and humanitarian action. Daniel is most inspired by working on solutions to intractable challenges that face humanity. As a child Daniel dreamt of becoming an astronaut, leading him to study aerospace engineering, focusing on computational methods and aerodynamics. He never made it into space.
          </p>
          <ul class="list-inline list-social-icons mb-0">
            <li class="list-inline-item">
              <a href="https://www.linkedin.com/in/sumdp/">
                <span class="fa-stack fa-lg">
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                  <i class="fa fa-linkedin fa-stack-1x fa-inverse"></i>
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              <a href="https://github.com/sumdp">
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              <a href="http://dpedraza.com">
                <span class="fa-stack fa-lg">
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            </li>
          </ul>
        </div>
      </section>

      <section class="resume-section p-3 p-lg-5 d-flex d-column" id="da">
        <div class="my-auto">
          <img class="img-fluid img-profile rounded-circle mx-auto mb-2" src="img/Faces/adjodah_dhaval_s.png" alt="Dhaval Adjodah">
          <h1 class="mb-0">Dhaval Adjodah
          </h1>
          <div class="subheading mb-5">Machine Learning Engineer
          </div>
          <p class="mb-5">
            Dhaval is a 4th year PhD student at the MIT Media Lab doing r
            esearch in AI, computational social science and finance. He
            previously worked in finance after doing his masters in the MIT
            Technology Policy Program, and undergraduate in Physics also at
            MIT. He is interested in understanding how to optimally organize
            networks of human and AI agents, and how large groups of people
            can sense new information, and take action collectively. His work
            is relevant to improving deep reinforcement learning algorithms,
            improving financial trading, rewiring collaboration networks,
            crowd-sourcing, voting, and innovation. He grew up in Mauritius,
            and greatly enjoys cooking and running.
          </p>
          <ul class="list-inline list-social-icons mb-0">
            <li class="list-inline-item">
              <a href="https://www.linkedin.com/in/rand0m/">
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                  <i class="fa fa-linkedin fa-stack-1x fa-inverse"></i>
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            </li>
            <li class="list-inline-item">
              <a href="https://github.com/d-val">
                <span class="fa-stack fa-lg">
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              <a href="http://twitter.com/_dval_">
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              <a href="http://www.dval.me/">
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              <a href="mailto:dhaval@mit.edu">
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          </ul>
        </div>
      </section>

      <section class="resume-section p-3 p-lg-5 d-flex d-column" id="gg">
        <div class="my-auto">
          <img class="img-fluid img-profile rounded-circle mx-auto mb-2" src="img/Faces/greene_gretchen_s.png" alt="Gretchen Greene">
          <h1 class="mb-0">Gretchen Greene
          </h1>
          <div class="subheading mb-5">Machine Learning Engineer
          </div>
          <p class="mb-5">
            A former ship designer, national lab mathematician and
            Hollywood special effects artist, Gretchen Greene is a
            computer vision scientist and machine learning engineer
            working with Cambridge startups on everything from autonomous
            vehicles to QR codes in wearables. Also an attorney, Greene
            has worked on international energy, water and transportation
            policy, complex corporate tax transactions and criminal and
            civil litigation. Greene has a CPhil and MS in math from
            UCLA and a JD from Yale.
          </p>
          <ul class="list-inline list-social-icons mb-0">
            <li class="list-inline-item">
              <a href="https://www.linkedin.com/in/kgretchengreene/">
                <span class="fa-stack fa-lg">
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            </li>
            <li class="list-inline-item">
              <a href="mailto:kgretchengreene@gmail.com">
                <span class="fa-stack fa-lg">
                  <i class="fa fa-circle fa-stack-2x"></i>
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            </li>
          </ul>
        </div>
      </section>


      <section class="resume-section p-3 p-lg-5 d-flex d-column" id="jj">
        <div class="my-auto">
          <img class="img-fluid img-profile rounded-circle mx-auto mb-2" src="img/Faces/joseph_josh_s.png" alt="Josh Joseph">
          <h1 class="mb-0">Josh Joseph
          </h1>
          <div class="subheading mb-5">Machine Learning Engineer
          </div>
          <p class="mb-5">
            Josh has over a decade of experience solving real-world problems
            using the tools of machine learning in both academia and industry.
            The majority of his past ML work has been in finance from time
            co-founding a fully-automated, proprietary trading company, as
            a machine learning consultant, and as Chief Science Officer at
            Alpha Features. In addition to a wide breadth of experience in
            strategy discovery and validation using structured and unstructured
            data sources, he has also performed technical due diligence on
            over a hundred AI/ML hedge funds for an asset allocator. As a
            consultant and during his time as a graduate student, he also
            worked on projects such as an autonomous cell identification
            system for a life sciences company, pricing of co-working office
            spaces, modeling iRobot Roomba battery degradation, predicting
            taxi routes, and autonomous robot interaction with turbulent
            water flow. He received a B.S. in Applied Mathematics and a
            B.S. in Mechanical Engineering from Rochester Institute of
            Technology and a S.M. and Ph.D. in Aeronautics and Astronautics
            from Massachusetts Institute of Technology.
          </p>
          <ul class="list-inline list-social-icons mb-0">
            <li class="list-inline-item">
              <a href="https://www.linkedin.com/in/jmjoseph/">
                <span class="fa-stack fa-lg">
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              <a href="mailto:jmjoseph@alum.mit.edu">
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        </div>
      </section>


      <section class="resume-section p-3 p-lg-5 d-flex d-column" id="tm">
        <div class="my-auto">
          <img class="img-fluid img-profile rounded-circle mx-auto mb-2" src="img/Faces/miano_thom_s.png" alt="Thom Miano">
          <h1 class="mb-0">Thom Miano
          </h1>
          <div class="subheading mb-5">Machine Learning Engineer
          </div>
          <p class="mb-5">
            Thom Miano is a research data scientist in the Center for
            Data Science at RTI International. He is currently working
            on several deep learning projects in computer vision and
            multimodal sensing. Thom studies Artificial Intelligence
            as a multifaceted discipline, investigating the development
            of algorithmic architectures, the practical application of
            machine learning in health, education, and the arts, and
            the ethical implications of AI and data-driven technologies.
            Thom has a rich interdisciplinary background as an artist,
            musician, writer, and lecturer. He received an MS in Data
            Science and a BA in Political Philosophy, Policy, & Law
            from the University of Virginia.
          </p>
          <ul class="list-inline list-social-icons mb-0">
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              <a href="https://www.linkedin.com/in/tnmiano/">
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              <a href="https://github.com/thommiano">
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              <a href="http://thommiano.com/">
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              <a href="mailto:thom.miano@gmail.com">
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            </li>
          </ul>
        </div>
      </section>

      <section class="resume-section p-3 p-lg-5 d-flex d-column" id="f">
        <div class="my-auto">
          <img class="img-fluid img-profile rounded-circle mx-auto mb-2" src="img/Faces/Francisco_s.png" alt="Francisco">
          <h1 class="mb-0">Francisco
          </h1>
          <div class="subheading mb-5">Machine Learning Engineer
          </div>
          <p class="mb-5">
            Francisco has a very eclectic background gained through his
            extensive international academic and professional career
            with studies in Spain, Sweden, Japan, Australia and USA.
            He also worked in Japan for 6 years developing a deep
            understanding of the business culture there, has been
            exposed to large international projects and has managed
            international teams. These days he is working in projects
            that touch very diverse fields like Data Science, AR/VR,
            Physics and cybersecurity. He is also an avid traveler
            and adventurer that so far have visited more than 60
            countries across the globe.
          </p>
        </div>
      </section>

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