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      About | Rong Wu

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    <a href="/">Rong Wu</a>
    <small class="masthead-subtitle">PhD Candidate</small>
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<p>My current research focused on Bayesian ordinary differential equation (ODE) disease progression model leveraging ADNI data. My research interests include Bayesian modeling, Machine learning algorithms, Multimodal data integration for health and biomedical data.</p>

<p>I received an MS from UCSF, advised by Prof. <a href="https://profiles.ucsf.edu/aaron.scheffler">Aaron Wolfe Scheffler</a>, an MS from New York University, advised by Prof. <a href="https://publichealth.nyu.edu/faculty/hai-shu">Hai Shu</a>, and a BA in Bioscience from Zhejiang University. I also worked as a GSR for <a href="https://multitudesinfo.ucsf.edu/">UCSF Multitudes Project</a> at the UCSF Memory and Aging Center and an Statistical Engineer at <a href="https://www.npphub.com">NppStudio</a>.</p>

<p>For more information, please see my <a href="/assets/RongWuCV_26FALL.pdf">CV</a>.</p>

<p>email: </p>

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<h2>Selected Publications</h2>

<p><strong>Wu, R.</strong>, Chen, Z., Li, G., &amp; Shu, H. (under review). Nonlinear Sparse Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data. <a href="https://arxiv.org/abs/2502.18756">[Paper]</a></p>


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<!-- I began my academic journey in Graz, Austria, where I studied Psychology and Philosophy. Dissatisfied with both, I looked for a more formal way to study the human mind and behaviour and ended up in Tübingen, Germany, pursuing a Masters degree in Cognitive Science.

For my thesis, I stepped out the ivory tower academia can sometimes be and worked with a car company on evaluating artificial driver models in their traffic simulation. While that was fun, academia is fun too, and so I started a PhD at the Department of Psychological Methods, University of Amsterdam, in December 2017. Broadly speaking, I am working on topics related to Bayesian inference and testing, networks, causal inference, and dynamical systems.

Besides academic things, I am thinking about how we can utilize people's quantitative skills for the social good. To that end, I co-founded [CorrelAid Nederland](https://twitter.com/CorrelAidxNL), [Data & Strategies versus Corona](https://scienceversuscorona.com/), and was a [Data Science For Social Good Fellow](https://www.dssgfellowship.org/) at Carnegie Mellon University in 2022. I am also deeply concerned about the [climate emergency](https://fabiandablander.com/menu/climate.html) and [helped organize](https://www.folia.nl/international/151115/scientist-rebellion-organizes-climate-action-week-time-to-look-up) and [took part](https://www.youtube.com/watch?v=EYFhadxD0eg) in the global Scientist Rebellion. You can find me [@fdabl](https://twitter.com/fdabl) or email me using my last name dot my first name at gmail dot com.-->

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