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<!DOCTYPE HTML>
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<h2>Francesca Panero</h2>
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<h2>About Me</h2>
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<p></br>I am a last year <b>DPhil candidate</b> in the <a href="http://www.stats.ox.ac.uk/">Department of Statistics</a> at the University of Oxford</a>, part of the CDT programme <a href="http://www.oxwasp-cdt.ac.uk/">OxWaSP</a> between Oxford and Warwick.
I am working under the supervision of <a href="http://www.stats.ox.ac.uk/~caron/">Prof François Caron</a> and <a href="http://www.stats.ox.ac.uk/~rousseau/"> Prof Judith Rousseau</a>.
I am recepient of an <a href="https://epsrc.ukri.org"> EPSRC</a> scholarship.</p>
<p>My research interests lie around <b>Bayesian models for networks</b>, <b>disclosure risk assessment</b> and <b>fair machine learning</b>.</p>
<p>In Spring 2020 I visited Duke University in Durham, NC, collaborating with <a href="https://stat.duke.edu/people/david-b-dunson">Prof David Dunson</a>. In Spring 2021 I worked at <a href="https://www.idsia.ch">IDSIA</a> (Dalle Molle Institute for Artificial Intelligence) in Lugano, Switzerland, with <a href="https://www.bnlearn.com/about/">Dr Marco Scutari</a>. From May to October 2021 I was an intern at J.P. Morgan London, working as quantitative researcher in a trading team.</p>
<p>Prior to coming to Oxford, I obtained a <a href="https://www.matematica.unito.it/do/home.pl">BSc in Mathematics</a> and a <a href="https://www.master-sds.unito.it/do/home.pl">MSc in Stochastics and Data Science</a> at the University of Turin (Italy). In parallel, I was an Allieva at <a href="https://www.carloalberto.org">Collegio Carlo Alberto</a>, studying Economics and Statistics.</p>
<p>
After the PhD (I am graduating in April 2022), I would like to continue exploring the topic of fair ML or other exciting data-related opportunities. I'd love to hear if you have something interesting to propose me!
</p>
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<h2 style="margin-bottom: 0em">Research</h2>
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<h4>Publications and preprints</h4>
<ul>
<li>Achieving Fairness with a Simple Ridge Penalty. M. Scutari, <strong>F. Panero</strong>, M. Proissl (2021). <a href="https://arxiv.org/abs/2105.13817">arXiv:2105.13817</a>
</li>
<li>Bayesian nonparametric disclosure risk assessment. S. Favaro, <strong>F. Panero</strong>, T. Rigon (2021) (to appear on the Electronic Journal of Statistics)
</li>
<li>F. Camerlenghi, S. Favaro, Z. Naulet and <strong>F. Panero</strong>. <a href="https://projecteuclid.org/journals/annals-of-statistics/volume-49/issue-2/Optimal-disclosure-risk-assessment/10.1214/20-AOS1975.short">Optimal disclosure risk assessment.</a> The Annals of Statistics 49.2 (2021): 723-744.</li>
<li>F. Caron, <strong>F. Panero</strong> and J. Rousseau. On sparsity, power-law and clustering
properties of graphex processes. <a href="https://arxiv.org/abs/1708.03120">arXiv:1708.03120</a>, 2019.</li>
</ul>
<h4>Working Papers</h4>
<ul>
<li>F. Caron, <strong>F. Panero</strong> and J. Rousseau. Sparse spatial random graphs. (2021)</li>
<!--<li>F. Ferrari, <strong>F. Panero</strong> and D. Dunson. Multiscale modelling of brain connectomes. 2020.</li>-->
</ul>
<h4>Talks and poster presentations</h4>
<ul>
<li> Dec 2021, talk for the Department of Statistics, London School of Economics, <i>Sparse spatial random graphs</i>.</li>
<li> Jul 2021, talk at <a href=https://events.stat.uconn.edu/ISBA2021/>2021 ISBA World Meeting</a>, <i>Sparse spatial random graphs</i>. My talk won one of the "Best Student/Postdoc Contributed Paper Award". Thank you!</li>
<li> June 2021, talk for the Department of Computer Science, University of the Italian Speaking Switzerland (USI), <i>Sparse spatial random graphs</i>.</li>
<li> April 2021, talk for Young Statisticians Europe (YSE), <i>Sparse spatial random graphs</i>.</li>
<li> March 2021, seminar for the School of Mathematical Sciences, University of Nottingham, <i>Sparse spatial random graphs</i>.</li>
<li> December 2020, contributed talk at CMStatistics (Computational and Methodological Statistics)
<i>Sparse spatial random graphs</i>.</li>
<li> August 2020, Duke Student Seminar Talk
<i>Sparse spatial random graphs</i>.</li>
<li> December 2019, talk at <a href="http://www.cfenetwork.org/CFE2019/">CMStatistics 2019</a>, <i>Optimal disclosure risk assessment</i>.</li>
<li>July 2019, poster at <a href="https://bocconi2019.lakecomoschool.org">Bocconi Summer School in Advanced Statistics and Probability</a>, <i>Sparse spatial random graphs</i>.</li>
<li>June 2019, poster at <a href="https://www.stats.ox.ac.uk/bnp12/">Bayesian Nonparametrics 2019</a>, <i>Sparse spatial random graphs</i>.</li>
<li>June 2019, talk at <a href="http://meetings3.sis-statistica.org/index.php/SIS2019/index/schedConfs/current">Italian Statistical Society 2019</a>, <i>Optimal disclosure risk assessment</i>.</li>
<li>June 2018, poster at <a href="https://bayesian.org/isba2018/">2018 ISBA World Meeting</a>, <i>Optimal disclosure risk assessment</i>.</li>
</ul>
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<h2 style="margin-bottom: 0em">Projects</h2>
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<div class="image rounded"><img src="Images/graph.png" title="Bayesian nonparametrics models for spatial random graphs" alt="Spatial graphs" style="max-width: 160px"/></div>
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<header>
<h4>Bayesian nonparametrics models for spatial random graphs</h4>
</header>
<p> Ongoing work with F. Caron and J. Rousseau on a new model for sparse spatial random graphs, with flexible sparsity levels and power law degree distribution. </p>
</div>
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<div class="image rounded"><img src="Images/clustering.png" title="Asymptotics on graphexes" alt="Asymptotics on graphexes" style="max-width: 160px"/></div>
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<h4>Asymptotic properties of graphs based on graphex processes</h4>
</header>
<p>
We study the asymptotic properties of random graphs originated from graphex processes, in particular sparsity levels, degree distribution and clustering coefficients. We derive a central limit theorem for the number of nodes and we propose a class of models that can tackle separatly the local and global structures of a network. Joint work with F. Caron and J. Rousseau.
</p>
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<div class="image rounded"><img src="Images/disclosure.png" title="Disclosure risk assessment" alt="Disclosure risk assessment" style="max-width: 160px"/></div>
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<h4>Disclosure risk assessment</h4>
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<p> We propose a nonparametric and a Bayesian nonparametric estimators to quantify disclosure risk. We prove the optimality of the former in terms of vanishing normalized mean squared error, and we compute the posterior in close form for the latter.</p>
</div>
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<div class="image rounded"><img src="Images/fairml.png" title="Fair ML" alt="Fair ML" style="max-width: 160px"/></div>
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<!--
<h4>Bayesian models for brain connectomes</h4>
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<p> Ongoing work with F. Ferrari and D. Dunson on a new model to merge information at different scales of white matter brain fibers. </p>
-->
<h4>Fair machine learning</h4>
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<p> We propose a linear model and a glm to achieve the fair requirement of statistical parity through the use of ridge regression, obtaining a procedure which is fast, easy to use and flexible since it allows for multiple sensitive features (categorical and continuous). </p>
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<h2>Work experience</h2>
<ul>
<li>07-10/2021: Quantitative research intern in a trading team, J.P. Morgan Chase, London.</li>
<li>10-12/2019: Tutor and teaching assistant for <a href="http://www.stats.ox.ac.uk/~laws/SB1/">Applied Statistics</a>.</li>
<li>1-3/2019: <a href="http://www.stats.ox.ac.uk/~laws/SB1/">Applied Statistics</a> (<a href="https://www.exeter.ox.ac.uk/applicants/wepo/">Williams at Exeter Programme</a> tutor).</li>
<li>4-6/2019: <a href="https://courses.maths.ox.ac.uk/node/43902">Preliminary in Statistics and Data Analysis</a> (<a href="https://www.hertford.ox.ac.uk">Hertford</a> college tutor).</li>
<li>10-12/2018: Teaching assistant for <a href="http://www.stats.ox.ac.uk/~laws/SB1/">Applied Statistics</a>.</li>
<li> 10/2018 - 4/2019: volunteer tutor for A-level students in Mathematics at <a href="https://www.stgregory.oxon.sch.uk">St Gregory the Great high school</a>, for the <a href="https://www.oxfordhub.org/activities/schools-plus"> School Plus</a> programme with the <a href="https://www.oxfordhub.org">Oxford Hub</a>.</li>
<li>8-9/2015: Internship, Accounting office RSM Palea Lauri Gerla, Torino.</li>
<li>4-7/2015: Thesis project with DB&B Consulting, risk management company in Torino. </li>
</ul>
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<h2>Curriculum vitae</h2>
<p>My CV is available <a href="PDFs/Academic CV Francesca Panero.pdf" target="_blank">here</a>.
<br>(Updated Nov 2021).
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<h2 id="myHeader">Miscellanea</h2>
<p>Since January 2021, I am an active committee member of <a href="https://tylerkf.github.io/equistats/">EquiStats</a>, a discussion group on the themes of equality, diverity and inclusion in the Department of Statistics, Oxford. I co-organised the discussions around diverse hiring practices and fairness in machine learning.
From December 2018 to February 2019 I was one of the organisers of the <a href="https://www.meetup.com/Oxford-R-User-Group/">Oxford R Users Group</a> meetups. I am a committee member of the Green Team in the Statistics Department, University of Oxford.</p>
<p>Since the beginning of 2018, I am an active member of the <a href="https://stpeterscollegeboatclub.com">St. Peter's College Boat Club</a>. I am mostly a rower (we won <a href="https://en.wikipedia.org/wiki/Bumps_race">blades in Summer Eights</a> 2019 with the first women team!), but also an enthusiastic cox. I also help the club as Water Safety Officer and Social Media Manager.</p>
<p>I am one of the founding members of the StatsChoir of our department. In the past, I have sung (and conducted) in different choirs and played the piano.</p>
<p>As a volunteer, I spent part of the summer in Gabon (2011) and Democratic Republic of Congo (2013). These experience are a bit far in time now, but have been one of the best moments of my life and I am looking forward to coming back.</p>
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<h2>Contact me</h2>
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francesca.panero at stats.ox.ac.uk
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Office G.01<br>
Department of Statistics<br>
University of Oxford<br>
24-29 St Giles<br>
Oxford OX1 3LB, UK
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