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<!DOCTYPE HTML>
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<h2>Cian Naik</h2>
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<h2>About Me</h2>
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<p></br>I am a final year DPhil student in the <a href="http://www.stats.ox.ac.uk/">Department of Statistics</a> at the University of Oxford</a>, part of the <a href="http://www.oxwasp-cdt.ac.uk/">OxWaSP</a> CDT programme, supervised by <a href="http://www.stats.ox.ac.uk/~caron/">Professor François Caron</a> and <a href="http://www.stats.ox.ac.uk/~rousseau/"> Professor Judith Rousseau</a>.</p>
<p>My academic interests lie in data subsampling, network analysis, causal inference and Bayesian nonparametrics.</p>
<p>Previously, I completed my MSc in the <a href="https://www.imperial.ac.uk/statistics">Department of Statistics</a> at Imperial College London. My thesis was on robust estimation and approximate Bayesian methods in causal inference problems, supervised by <a href="https://www.imperial.ac.uk/people/e.mccoy">Professor Emma McCoy</a> and <a href="https://www.imperial.ac.uk/people/d.j.graham"> Professor Daniel Graham</a>.</p>
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<h4>Publications and preprints</h4>
<ul>
<li><strong>C. Naik</strong>, J. Rousseau, T. Campbell. A recursive construction for Hilbert coresets. <a href="https://arxiv.org/abs/2203.09675">arXiv:2203.09675</a>, 2022.</li>
<li><strong>C. Naik</strong>, F. Caron, J. Rousseau, Y.W. Teh, K. Palla. Bayesian nonparametrics for sparse dynamic networks. <a href="https://arxiv.org/abs/1607.01624">arXiv:1607.01624</a>, 2022.</li>
<li><strong>C. Naik</strong>, C.R. Sugimoto, V. Lariviere, C. Leng, W. Guo. Impact of geographic diversity on citation of collaborative research. <a href="https://arxiv.org/abs/2204.11713">arXiv:2204.11713</a>, 2022.</li>
<li><strong>C. Naik</strong>, F. Caron, J. Rousseau. <a href="https://doi.org/10.1214/21-EJS1819">Sparse networks with core-periphery structure.</a> Electronic Journal of Statistics 15 (1) 1814 - 1868, 2021.</li>
<li>D.J. Graham, <strong>C. Naik</strong>, E.J. McCoy, H. Li. <a href="https://doi.org/10.1371/journal.pone.0221267">Do speed cameras reduce road traffic collisions?</a> PLoS ONE 14(9): e0221267, 2019.</li>
<li><strong>C. Naik</strong>, E.J. McCoy, D.J. Graham. Multiply robust dose-response estimation for multivalued causal inference problems. <a href="https://arxiv.org/abs/1611.02433">arXiv:1611.02433</a>, 2017.</li>
</ul>
<h4>Talks and poster presentations</h4>
<ul>
<li> Sep 2021, talk at <a href="https://events.stat.uconn.edu/BAYSM2021/">2021 Bayesian Young Statisticians Meeting</a>, <i>A Recursive Construction for Hilbert Coresets</i> (Honorable mention for best talk in Theory and Methods).</li>
<li> Jun 2021, talk at <a href="https://events.stat.uconn.edu/ISBA2021/">2021 ISBA World Meeting</a>, <i>Sparse networks with core-periphery structure</i>.</li>
<li> Dec 2020, talk at <a href="http://www.cfenetwork.org/CFE2020/">CMStatistics 2020</a>, <i>Bayesian nonparametrics for sparse dynamic networks</i>.</li>
<li>Jun 2019, poster at <a href="https://www.stats.ox.ac.uk/bnp12/">Bayesian Nonparametrics 2019</a>, <i>Sparse networks with core-periphery structure</i>.</li>
<li>Mar 2019, poster at Workshop on Machine Learning, Computational Statistics and Applications, Amazon Development Centre, Germany, <i>Sparse networks with core-periphery structure</i>.</li>
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<h4>Bayesian nonparametrics</h4>
</header>
<p> During my DPhil, I have worked on two projects with my supervisors Professor François Caron and Professor Judith Rousseau regarding Bayesian nonparametric models for networks. In particular, we develop models for core-periphery and sparse dynamic networks. We also introduce an approximate inference method, based on a truncation of the infinite-dimensional model.</p>
<p> Image credit: <a href="https://commons.wikimedia.org/wiki/File:Bayes%27_Theorem_MMB_01.jpg">mattbuck (category)</a>, <a href="https://creativecommons.org/licenses/by-sa/2.0">CC BY-SA 2.0</a>, via Wikimedia Commons.</p>
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<h4>Statistical Network Analysis</h4>
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<p>I am also working with <a href="https://www.cranfield.ac.uk/people/professor-weisi-guo-24667823"> Professor Weisi Guo</a>, <a href="https://warwick.ac.uk/fac/sci/statistics/staff/academic-research/leng/"> Professor Chenlei Leng</a>, <a href="https://spp.gatech.edu/people/person/2815f752-35cb-5607-a294-bc3ad6645390"> Professor Cassidy Sugimoto</a> and <a href="https://www.cwts.nl/people/vincentlariviere"> Vincent Larivière</a> on a project to measure the impact of geographic diversity in coauthorships on the citation of their papers across different academic domains. We use the global air transport network in order to construct our diversity measures.</p>
<p> Image credit: <a href="https://commons.wikimedia.org/wiki/File:Internet_map_1024.jpg">The Opte Project</a>, <a href="https://creativecommons.org/licenses/by/2.5">CC BY 2.5</a>, via Wikimedia Commons.</p>
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<h4>Data Subsampling</h4>
</header>
<p>I am currently working with Professor Judith Rousseau and <a href="https://trevorcampbell.me/"> Professor Trevor Campbell</a> on a project concerning Bayesian coresets, in which a small weighted sample is used to approximate a posterior distribution whilst obtaining computational speedups. We propose a novel Bayesian coreset construction algorithm, that improves both the run-time of current methods, and provides more sound theoretical guarantees.</p>
<p> Image credit: <a href="https://www.pexels.com/@anntarazevich?utm_content=attributionCopyText&utm_medium=referral&utm_source=pexels">Anna Tarazevich</a> from <a href="https://www.pexels.com/photo/gray-and-black-metal-machine-5963136/?utm_content=attributionCopyText&utm_medium=referral&utm_source=pexels">Pexels</a>.</p>
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<h4>Causal Inference</h4>
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<p> During my MSc, I worked on robust estimation and approximate Bayesian methods in causal inference problems with Professor Emma McCoy and Professor Daniel Graham. Our focus was on doubly and multiply robust methods, with applicatons to road traffic collisions.</p>
<p> Image credit: <a href="https://xkcd.com/552/">xkcd</a>.</p>
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<h4>Work experience</h4>
<ul>
<li>Sep 2020 - Nov 2020: Intern, Core Data Science, Facebook, London.</li>
<li>Jan 2017 - May 2017: Intern, Stratagem Technologies, London.</li>
<li>Oct 2016 - Dec 2016: Intern, Global Equity Team, GMO, London.</li>
<li>Jul 2015 - Sep 2015: Intern, Perimeta Architecture Team, Metaswitch Networks, Enfield.</li>
</ul>
<h4>Teaching</h4>
<ul>
<li>Jan 2021 - Mar 2021: Teaching Assistant, Advanced Simulation Methods. Department of Statistics, University of Oxford.</li>
<li>Oct 2019 - Dec 2019: Class Tutor, Foundations of Statistical Inference. Department of Statistics, University of Oxford.</li>
<li>Jul 2019: Tutor, UNIQ Summer School. Department of Statistics, University of Oxford.</li>
<li>Oct 2018 - Dec 2018: Teaching Assistant, Foundations of Statistical Inference. Department of Statistics, University of Oxford.</li>
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<h2>Curriculum vitae</h2>
<p>My CV is available <a href="PDFs/Curriculum_Vitae_Apr_22_new.pdf" target="_blank">here</a>.
<br>(Updated April 2022).
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cian (dot) naik (at) stats (dot) ox (dot) ac (dot) uk<br>
ciannaik (at) gmail (dot) com
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