Francesca Chiaromonte

Director of the Genome Sciences Institute; Huck Chair in Statistics for the Life Sciences; Professor of Statistics

Francesca Chiaromonte

Research Summary

Developing methods for the analysis of large, high-dimensional and complex data.

Huck Affiliations

Links

Most Recent Publications

Venture capital investments through the lens of network and functional data analysis

Christian Esposito, Marco Gortan, Lorenzo Testa, Francesca Chiaromonte, Giorgio Fagiolo, Andrea Mina, Giulio Rossetti, 2022, Applied Network Science

Advanced age increases frequencies of de novo mitochondrial mutations in macaque oocytes and somatic tissues

Barbara Arbeithuber, Marzia A. Cremona, James Hester, Alison Barrett, Bonnie Higgins, Kate Anthony, Francesca Chiaromonte, Francisco J. Diaz, Kateryna D. Makova, 2022, Proceedings of the National Academy of Sciences of the United States of America

Can You Always Reap What You Sow? Network and Functional Data Analysis of Venture Capital Investments in Health-Tech Companies

Christian Esposito, Marco Gortan, Lorenzo Testa, Francesca Chiaromonte, Giorgio Fagiolo, Andrea Mina, Giulio Rossetti, 2022, on p. 744-755

Automated and distributed statistical analysis of economic agent-based models

Andrea Vandin, Daniele Giachini, Francesco Lamperti, Francesca Chiaromonte, 2022, Journal of Economic Dynamics and Control

Functional data analysis characterizes the shapes of the first COVID-19 epidemic wave in Italy

Tobia Boschi, Jacopo Di Iorio, Lorenzo Testa, Marzia A. Cremona, Francesca Chiaromonte, 2021, Scientific Reports

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment

Mirco Nanni, Gennady Andrienko, Albert László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, Janos Kertesz, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías Jiménez, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenc Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani, 2021, Ethics and Information Technology

Simultaneous feature selection and outlier detection with optimality guarantees

Luca Insolia, Ana Kenney, Francesca Chiaromonte, Giovanni Felici, 2021, Biometrics

Covariate Information Number for Feature Screening in Ultrahigh-Dimensional Supervised Problems

Debmalya Nandy, Francesca Chiaromonte, Runze Li, 2021, Journal of the American Statistical Association

Can you always reap what you sow? Network and functional data analysis of VC investments in health-tech companies

Christian Esposito, Marco Gortan, Lorenzo Testa, Francesca Chiaromonte, Giorgio Fagiolo, Andrea Mina, Giulio Rossetti, 2021,

MIP-BOOST

Ana Kenney, Francesca Chiaromonte, Giovanni Felici, 2021, Journal of Computational and Graphical Statistics on p. 566-577

Most-Cited Papers

Computational pan-genomics: Status, promises and challenges

Tobias Marschall, Manja Marz, Thomas Abeel, Louis Dijkstra, Bas E. Dutilh, Ali Ghaffaari, Paul Kersey, Wigard P. Kloosterman, Veli Mäkinen, Adam M. Novak, Benedict Paten, David Porubsky, Eric Rivals, Can Alkan, Jasmijn A. Baaijens, Paul I.W. De Bakker, Valentina Boeva, Raoul J.P. Bonnal, Francesca Chiaromonte, Rayan Chikhi, Francesca D. Ciccarelli, Robin Cijvat, Erwin Datema, Cornelia M. Van Duijn, Evan E. Eichler, Corinna Ernst, Eleazar Eskin, Erik Garrison, Mohammed El-Kebir, Gunnar W. Klau, Jan O. Korbel, Eric Wubbo Lameijer, Benjamin Langmead, Marcel Martin, Paul Medvedev, John C. Mu, Pieter Neerincx, Klaasjan Ouwens, Pierre Peterlongo, Nadia Pisanti, Sven Rahmann, Ben Raphael, Knut Reinert, Dick de Ridder, Jeroen de Ridder, Matthias Schlesner, Ole Schulz-Trieglaff, Ashley D. Sanders, Siavash Sheikhizadeh, Carl Shneider, 2018, Briefings in Bioinformatics on p. 118-135

A genome-wide analysis of common fragile sites: What features determine chromosomal instability in the human genome?

Arkarachai Fungtammasan, Erin Walsh, Francesca Chiaromonte, Kristin A. Eckert, Kateryna D. Makova, 2012, Genome Research on p. 993-1005

Evidence for sharp increase in the economic damages of extreme natural disasters

Matteo Coronese, Francesco Lamperti, Klaus Keller, Francesca Chiaromonte, Andrea Roventini, 2019, Proceedings of the National Academy of Sciences of the United States of America on p. 21450-21455

A general theory for nonlinear sufficient dimension reduction: Formulation and estimation

Kuang Yao Lee, Bing Li, Francesca Chiaromonte, 2013, Annals of Statistics on p. 221-249

Distinct mutational behaviors differentiate short tandem repeats from micro satellites in the human genome

Guruprasad Ananda, Erin Walsh, Kimberly D. Jacob, Maria Krasilnikova, Kristin A. Eckert, Francesca Chiaromonte, Kateryna D. Makova, 2013, Genome Biology and Evolution on p. 606-620

Child Weight Gain Trajectories Linked To Oral Microbiota Composition

Sarah J.C. Craig, Daniel Blankenberg, Alice Carla Luisa Parodi, Ian M. Paul, Leann L. Birch, Jennifer S. Savage, Michele E. Marini, Jennifer L. Stokes, Anton Nekrutenko, Matthew Reimherr, Francesca Chiaromonte, Kateryna D. Makova, 2018, Scientific Reports

Rescuing Alu: Recovery of New Inserts Shows LINE-1 Preserves Alu Activity through A-Tail Expansion

Bradley J. Wagstaff, Dale J. Hedges, Rebecca S. Derbes, Rebeca Campos Sanchez, Francesca Chiaromonte, Kateryna D. Makova, Astrid M. Roy-Engel, 2012, PLoS Genetics

Integration and Fixation Preferences of Human and Mouse Endogenous Retroviruses Uncovered with Functional Data Analysis

Rebeca Campos-Sánchez, Marzia A. Cremona, Alessia Pini, Francesca Chiaromonte, Kateryna D. Makova, 2016, PLoS Computational Biology

Long-read sequencing technology indicates genome-wide effects of non-B DNA on polymerization speed and error rate

Wilfried M. Guiblet, Marzia A. Cremona, Monika Cechova, Robert S. Harris, Iva Kejnovská, Eduard Kejnovsky, Kristin Eckert, Francesca Chiaromonte, Kateryna D. Makova, 2018, Genome Research on p. 1767-1778

Age-related accumulation of de novo mitochondrial mutations in mammalian oocytes and somatic tissues

Barbara Arbeithuber, James Hester, Marzia A. Cremona, Nicholas Stoler, Arslan Zaidi, Bonnie Higgins, Kate Anthony, Francesca Chiaromonte, Francisco J. Diaz, Kateryna D. Makova, 2020, PLoS Biology

News Articles Featuring Francesca Chiaromonte

Aug 30, 2021

Staying home, primary care, and limiting contagion hubs may curb COVID-19 deaths

Staying home and limiting local travel, supporting access to primary care, and limiting contacts in contagion hubs — including hospitals, schools, and workplaces — are strategies that might help reduce COVID-19-related deaths, according to new research.

Full Article

Feb 04, 2021

Unusual DNA folding increases the rates of mutations

DNA sequences that can fold into shapes other than the classic double helix tend to have higher mutation rates than other regions in the human genome. New research by a team of Penn State scientists shows that the elevated mutation rate in these sequences plays a major role in determining regional variation in mutation rates across the genome.

Full Article

Sep 29, 2020

Scientists take a step toward understanding 'jumping genes' effect on the genome

Using state-of-the-art statistical methods, a team of researchers said they may have taken a leap closer to understanding a class of jumping genes, sequences that move to different locations in the human genome, which is the body’s complete set of DNA.

Full Article

Dec 12, 2019

Hurricanes Wreak Greater Havoc as Temperatures Soar

Devastation caused by the most powerful hurricanes has increased by up to twentyfold, according to a newly-identified pattern in natural disasters.

Full Article

Oct 08, 2019

Cost of natural disasters like hurricanes Katrina, Maria are increasing at high end

According to an international team of researchers, The costs of major disasters like hurricanes Katrina, Maria and Dorian or the massive tornado swarms in the Midwest have increased to a disproportionately larger extent than those of lesser events, and these major disasters have become far more expensive.

Full Article

Oct 07, 2019

Data scientists put a staggering price tag on climate change's effects

Hurricanes, floods, and other natural disasters can destroy and displace communities. Beyond the human cost, this damage is unimaginably expensive for many who are affected. New research out Monday puts a price tag on how bad things might get.

Full Article

Oct 07, 2019

Costs of natural disasters are increasing at the high end

While the economic cost of natural disasters has not increased much on average, averages can be deceptive. The costs of major disasters like hurricanes Katrina, Maria and Dorian or the massive tornado swarms in the Midwest have increased to a disproportionately larger extent than those of lesser events, and these major disasters have become far more expensive, according to an international team of researchers.

Full Article

Sep 17, 2019

Francesca Chiaromonte named Huck Chair in Statistics for the Life Sciences

Francesca Chiaromonte, professor of statistics at Penn State, was recently named Lloyd and Dorothy Foehr Huck Chair in Statistics by the University’s Huck Institutes of the Life Sciences.

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Sep 21, 2018

Mouth bacteria in toddlers may predict obesity, study says

Bacteria in a toddler's mouth might help predict later obesity, new research suggests. Scientists at Penn State University found the composition of microorganisms in the mouths of 2-year-olds offers clues to the child's future weight.

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Sep 20, 2018

Swabbing a child’s mouth for bacteria could predict how likely they are to become obese

A swab of a toddler’s mouth may predict their odds of growing into obese children, a new study suggests. Scientists at Pennsylvania State University discovered that the harmless microorganisms living in a two-year-old’s mouth were less diverse if they had gained more weight more quickly than most since birth.

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