personal-website/index.html at main · mdahardy/personal-website · GitHub

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    <link href="style.css" rel="stylesheet">
    <title>matt hardy</title>
    <script src="https://cdn.roundtable.ai/v1/rt.js" data-site-key="pub-JJcVdkAzJR3g24jOfUBo"></script>
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<body>
    <div class='content'>
        <!-- Hiking picture -->
        <div class='main-title-wrapper'>
            <div id='image-wrapper'><img src="me.jpg" width='100%'></div>
            <div class='main-title'>
                matt hardy
            </div>
            <p class='no-margin-top'>
                matt at roundtable dot ai
                <span class='first-dot dot-span'>&#9642;</span>
                <span class='mobile-only'><br></span>
                <a href='https://twitter.com/mdahardy' target='_blank'>
                    twitter
                </a>
                <span class='dot-span'>&#9642;</span>
                <a href='https://scholar.google.com/citations?hl=en&user=_9osnJQAAAAJ' target='_blank'>
                    google scholar
                </a>
                <span class='dot-span'>&#9642;</span>
                <a href='https://substack.com/@mdahardy' target='_blank'>
                    blog
                </a>
            </p>
        </div>
        <div class='flex-container'>
            <div>
                <p>
                    I'm currently working on <a href='https://roundtable.ai' target='_blank'>Roundtable</a> (ycs23)
                    with <a href='https://mayank-agrawal.com' target='_blank'>Mayank Agrawal.</a>
                    At Roundtable, we're building Proof of Human, an invisible API for verifying human identity.
                </p>
                <p>Previously, I completed my PhD in Tom Griffiths'
                    <a href='https://cocosci.princeton.edu/' target='_blank'>Computational Cognitive Science Lab</a>
                    at Princeton. My research focused on using machine learning and behavioral experiments
                    to improve network design, choice architectures, and decision-making in general.
                </p>
                <p>
                    During grad school, I spent a summer as an intern at Microsoft Research
                    where I worked with <a href='http://www.dangoldstein.com/' target='_blgiank'>Dan Goldstein</a> and
                    <a href='http://jakehofman.com/' target='_blank'>Jake Hofman</a> to develop tools for out-of-sample
                    forecasting. I also spent some time building <a href='https://electricscatter.com/'
                        target='_blank'>electric scatter</a>,
                    a website devoted to interactive data visualizations.
                </p>
                <p>
                    Before my PhD, I majored in statistics and economics (and minored in math) at the University of
                    Toronto, and spent two summers at MIT working in econometrics with <a
                        href='https://economics.mit.edu/faculty/wnewey' target='_blank'>Whitney Newey</a>
                    and <a href='https://economics.mit.edu/faculty/hausman' target='_blank'>Jerry Hausman</a>.
                    I also interned in data science at <a href='https://ridewithvia.com/' target='_blank'>Via</a>,
                    and spent my earlier years working as a busser, paperboy, lifeguard, farmhand, and assembly line
                    worker.
                    <hr class='main-hr'>
            </div>
        </div>
        <div class="flex-container no-padding-top">
            <div class="section-title">selected papers</div>
            <div class='section-content'>
                <p>
                    <a href='https://www.pnas.org/doi/10.1073/pnas.2322420121' target="_blank">
                        Embers of autoregression show how large language models are shaped by the problem they are
                        trained to solve
                    </a>
                    <br>
                    Tom McCoy, Shunyu Yao, Dan Friedman, Matt Hardy, and Tom Griffiths (2024). <i>PNAS.</i>
                </p>
                <p>
                    <a href='https://arxiv.org/abs/2410.01792' target="_blank">
                        When a language model is optimized for reasoning, does it still show embers of autoregression?
                        An analysis of OpenAI o1
                    </a>
                    <br>
                    Tom McCoy, Shunyu Yao, Dan Friedman, Matt Hardy, and Tom Griffiths (2024). <i>arXiv preprint.</i>
                </p>
                <p>
                    <a href='https://www.sciencedirect.com/science/article/pii/S0169207024000694' target="_blank">
                        Improving out-of-population prediction: The complementary effects of model assistance and
                        judgmental bootstrapping
                    </a>
                    <br>
                    Matt Hardy, Sam Zhang, Jessica Hullman, Jake Hofman, and Dan Goldstein (2024). <i>International
                        Journal of Forecasting.</i>
                </p>
                <p>
                    <a href='https://rdcu.be/dzqjm' target="_blank">
                        AI-generated visuals of car-free American cities help increase support for sustainable transport
                        policies
                    </a>
                    <br>
                    Rachit Dubey, Matt Hardy, Tom Griffiths, and Rahul Bhui (2024). <i>Nature Sustainability.</i>
                </p>
                <p>
                    <a href='pdfs/resampling.pdf' target="_blank">
                        Resampling reduces bias amplification in experimental social networks
                    </a>
                    <br>
                    Matt Hardy, Bill Thompson, P.M. Krafft, and Tom Griffiths (2023). <i>Nature Human Behaviour.</i>
                </p>
                <p>
                    <a href='pdfs/optimal_nudging.pdf' target="_blank">
                        Optimal nudging for cognitively bounded agents: A framework for modeling,
                        predicting, and controlling the effects of choice architectures
                    </a>
                    <br>
                    Fred Callaway, Matt Hardy, and Tom Griffiths (2023). <i>Psychological Review.</i>
                </p>
                <p>
                    <a href='https://onlinelibrary.wiley.com/doi/abs/10.1111/cogs.13232' target="_blank">
                        How do humans overcome individual computational limitations by working together?
                    </a>
                    <br>
                    Natalia Vélez, Brian Christian, Matt Hardy, Bill Thompson, and Tom Griffiths (2023).
                    <i>Cognitive Science.</i>
                </p>
                <p>
                    <a href='https://onlinelibrary.wiley.com/doi/10.1111/tops.12596' target="_blank">
                        Overcoming individual limitations through distributed computation: Rational information
                        accumulation in multi-generational populations
                    </a>
                    <br>
                    Matt Hardy, P.M. Krafft, Bill Thompson, and Tom Griffiths (2022).
                    <i>Topics in Cognitive Science.</i>
                </p>
            </div>
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            <a href='https://github.com/mdahardy/personal-website' target='_blank'>
                template
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