Personal page of
TOMMASO DORIGO, Ph. D.
First Researcher @ INFN
I am an experimental particle physicist working as a First Researcher for the Italian institute for nuclear physics (INFN), and a member of the CMS experiment at CERN since 2001 and the SWGO expperiment since 2022; previously (1995-2012) I have been a member of the CDF experiment at Fermilab.
I am married since 2017 with Kalliopi Petrou, a lyrical soprano singer, and have a son (Filippo, 22) and a daughter (Ilaria, 18) from a previous marriage. I live in Padova, where I work for the INFN as well as for the University of Padova (as a hired professor).
My research interests are extended in three partly synergic directions:
- in Particle Physics, where they span from Higgs boson physics to top quark physics, to searches for new phenomena extending
our current knowledge of subnuclear world;
- in Statistics, focusing on parameter estimation, frequentist methods, handling nuisance parameters in statistical inference, and multivariate analysis;
- in Computer Science, targeting machine end-to-end optimization of physics measurements with machine learning, on differentiable programming, and on anomaly detection and unsupervised techniques.
A list of over 1600 scientific publications I authored can be found
- Coordinator of the MODE Collaboration, a group with a cutting-edge research program at the crossroads of particle physics and artificial intelligence, 2020-present
- Co-chair of the CMS Thesis Award Committee, 2020-present
- Outreach coordinator and PI of INFN-Padova node of INSIGHTS ETN, 2017-present
- Scientific coordinator of AMVA4NewPhysics ETN, funded by Horizon2020, 2014-2019
- Scientific coordinator of accelerator-based research at INFN-Padova and board member of CSN1 at INFN, 2016-2020
- Chair of CMS Statistics committee, 2012-2015
- Chair of over 20 review committees in CDF and CMS, 2002-present
- Convener of several research and analysis groups in CDF and CMS, 2000-present
- Author of over 1600 scientific publications (216k citations, Hirsch index 223 - Google scholar, or 189k citations, H-index191, InspireHEP)
- Invited lecturer at 14 post-graduate schools in Physics, Statistics, and Machine Learning
- Gave over 30 talks at international conferences, and over 30 seminars and colloquia at universities and research institutes
- Editor of journal Reviews in Physics of Elsevier Pub. co., 2015-present
- Editor of journal Physics Open of Elsevier Pub. co., 2019-present
- Author of over 1400 science popularization online articles in personal blog (over 15M visits)
- Author of book Anomaly! Collider Physics and the Quest for New Phenomena at Fermilab (World Scientific 2016)
NEWS AND FUTURE EVENTS
- On July 6th I will give a seminar on differentiable programming for experiment design at RHUL.
- I gave a PhyStat seminar on June 15, 2022, titled "Sticking to the roots of machine learning". You can see a recording at this link.
- I have been invited to be a keynote speaker at the 7th International School on Deep Learning (DeepLearn 2022 Autumn) in Lulea (Sweden) on Oct. 17-21, 2022.
- On May 31st we submitted to the arxiv the article "Simulation-based inference with WALDO" (see here).
- On May 22-29 I presented the MODE research project at the Pisa Meeting on advanced detectors (La Biodola, Elba).
- I have been invited to lecture at NikHef on "End-to-end experimental design", May 11 2022.
- The book "Artificial Intelligence for high-energy physics", which I co-authored, has been published by World Scientific.
- From March 22 the article "Toward the end-to-end optimization of particle physics instruments with differentiable programming: a white paper", of which I am first author, is available in the arxiv.
- I will lecture at the "Learning to Discover" workshop in Orsay (France), April 20-29, 2022.
- On February 18 I gave a lecture to high-school students on particle physics for the Masterclasses 2022.
- On November 2 I gave a seminar on MODE research activities at LUND University.
- October 20: The AMVA4NewPhysics review article "Advances in Multi-Variate Analysis Methods for New Physics Searches at the LHC", of which I am author and editor, has been accepted for publication in Reviews in Physics.
- October 15: On November 6th I will give a talk on "Searching in the Dark: Unsupervised Learning meets Fundamental Science" at the USERN congress, and on November 11th I will chair the USERN workshop "Artificial Intelligence Challenges in Science and Society".
Show all past activity
For the CMS experiment
(2001-present) I have focused my research activities on Higgs physics and on searches for new phenomena, as well as on the development of advanced analysis tools for the calibration of the muon momentum scale (MuScleFit
), used in Higgs discovery analyses, the modeling of QCD backgrounds in multi-jet final states (Hemisphere mixing
), the investigation of multi-dimensional parameter space of new physics theories with unsupervised tools, and the anomaly detection approach to searches of new phenomena (Inverse Bagging
Previously, for the CDF experiment
(1995-2012) I have contributed to the top quark search and discovery
and to the construction of the muon system upgrade of the CDF-II detector. I have produced the first observation of Z->bb decays in hadron collisions
, and developed a trigger for the calibration of b-quark jets using Z->bb decays.
Statistics and Machine Learning
STATISTICS AND MACHINE LEARNING
As a member (Sep 2009-present) and chair
(Jan 2012-Jul 2015) of the CMS Statistics Committee I have been ensuring the highest standards of statistical inference in data analysis for the publications of my experiment, advising the collaboration on best practice and performing the screening of ALL journal publications from the point of view of statistics technique and description.
Through the design and implementation of the AMVA4NewPhysics ITN project (see below
) I have brought Statisticians and Physicists together with the purpose of enabling a common language and addressing specific problems of HEP data analysis. I am fostering the interest of Statistics students in Padova toward HEP applications and studies, by offering theses and teaching particle physics at the Masters in Statistical Sciences.
Recent publications of relevance:
- L. Masserano et al., Simulation-Based Inference with WALDO: Perfectly Calibrated Confidence Regions Using Any Prediction or Posterior Estimation Algorithm, arXiv:2205.15680, June 2022.
- T. Dorigo et al., Deep Regression of Muon Energy with a K-Nearest Neighbor Algorithm, arXiv:2203.02841, March 2022.
- T. Dorigo et al., RanBox: Anomaly Detection in the Copula Space, arXiv:2106.05747[physics.data-an], June 2021.
- T. Dorigo, Extraordinary Claims: The 0.000029% Solution, EPJ Web Conf. 95 (2015) 02003.
- B. Scarpa and T. Dorigo, Bayesian Parametric Modeling of Higgs Pair Production, EPJ Web Conf. 137 (2017) 11011.
- A. Carvalho et al., Higgs Pair Production: Choosing Benchmarks with Cluster Analysis", arXiv:1507.02245, J. HEP 04 (2016) 126.
I am involved in a number of studies of applications of machine learning techniques to particle physics applications,
as well as in the design of new techniques customized to the very special use cases provided by HEP and related research. These activities are in part the result of collaboration with the darkmachines
and the GradHep
collaborations, to which I belong, as well as the ETN networks AMVA4NewPhysics
Recent publications of relevance:
- T. Dorigo et al., Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper, arxiv:2203.13818[physics.ins-det], 2022.
- T. Dorigo et al., Deep regression of Muon Energy with a K-Nearest Neighbor Algorithm, arXiv:2203.02841[hep-ex] (2022).
- J. Kieseler et al., Calorimetric Measurement of Multi-TeV Muons via Deep Regression, arXiv:2107.02119 (2021), EPJC 82 (2022), 82.
- A. Stakia et al., Advanced Multi-Variate Analysis for New Physics Searches at the LHC, arXiv:2105.07530, May 2021.
- P. de Castro Manzano and T. Dorigo, Dealing with Nuisance Parameters using Machine Learning in High Energy Physics: a Review, arXiv:2007.09121v2[stat.ML], to be published in "Artificial Intelligence for HEP".
- T. Dorigo, J. Kieseler, L. Layer, G. Strong, Muon Energy Measurement from Radiative Losses in a Calorimeter for a Collider Detector, arXiv:2008.10958[physics.ins-det] (2020).
- T. Dorigo, Geometry Optimization of a Muon-Electron Scattering Detector, arXiv:2002.09973, Physics Open 4 (2020) 100022.
- P. de Castro and T. Dorigo, INFERNO: Inference-Aware Neural Optimization, Comp. Phys. Comm. 244 (2019) 170.
- P. Vischia and T. Dorigo, The Inverse Bagging Algorithm: Anomaly Detection by Inverse Bootstrap Algorithm, EPJ Web Conf. 137 (2017) 11009.
Current teaching activities
Previous teaching activities at undergraduate level
- Course on "Particle Physics: Foundations, Tools, Methods" at the Masters in Statistical Sciences, as a hired professor at the University of Padova (2018-present)
- Course on "Statistics for data analysis" at the Ph.D. in Physics, University of Padova (2014-present)
Invited cycles of lectures at advanced graduate schools
- Course on "Subnuclear Gauge Physics" at the Masters in Physics, Univ. Padova 2009-2012
- Course on "Physics" for the Laurea in Chemistry, Univ. Padova 2002-2004
- Course on "Physics Experimentation 2" for the Laurea in Physics, Univ. Padova 2006-2008
- "Physics at hadron colliders" at: Univ. Catania 2004, Univ. Padova 2004, "Corfu Summer Institute", Corfu, Greece 2005.
- "Physics with CMS" at "VIICRA school", Quito 2017.
- "The discovery of the Higgs boson" at: "Shanghai Tech Summer School", Asiago 2018, Asiago 2019.
- "Statistics for data analysis" at: "QGMM School" (COST action 18108, Corfu, Greece 2021), "Niccolo' Cabeo school" (Ferrara 2014), "Open Science Data Cloud school" (Perugia 2017), "CHIPP School" (Engelberg, 2012), "HEP Summer School" (Weihai, China 2016), "DKPI Indian Summer School" (Traunkirken, Austria 2015), "SOS School of Statistics" (Autrans 2016, La Londe 2018, France), "IDPASC School" (Asiago 2017).
- "Machine learning for HEP" at: "Data Science School", Braga, Portugal 2019, "YANDEX Machine Learning for HEP School", EPFL, Switzerland 2020.
The ones below are tentative titles of possible theses at laurea, masters, and PhD level. Contact me for more information
if you are interested, or to volunteer for a different one if it fits my research interests!
Ph. D. Thesis opportunities - deadline May 12 2021!
Master Thesis opportunities
Laurea Thesis opportunities
- Reconstruction of the neutral B hadron decay to tau lepton pairs with CMS
- Design optimization of detectors for muon tomography
- Optimization of hybrid calorimeters for future colliders
- Particle identification in granular calorimeters with deep learning
- Strange tagging at a future FCC-ee collider (in collaboration with Dr. P. Azzi)
Present and past advisorship activities
- Application of anomaly detection techniques to new physics searches with CMS
- Particle ID with deep learning in a highly granular detector
In addition to the above, the following topics are currently being explored by students I am advising:
- Top quark cross section measurement optimization through systematics-aware classification (Dr. L. Layer, Ph.D. thesis)
- Search for the rare decay B-> tau tau with CMS B-parked Run-2 data (Dr. H. Yarar, Ph.D thesis)
- Optimization of calorimetry for future colliders (Dr. F.Nardi, in coll. with Prof. J. Donini, UCA)
And here is a list of 37 laurea and 10 Ph.D. students I am or have been an advisor of:
- Undegraduate and masters: M. Scardellato, G. Cortiana, E. Stocco, D. Frigo, M. Tosi, P. Vischia, A. Zavanella, M. Tosi, E. Moretti, D. Perizzolo, R. Casagrande, C. Favaro, P. Bortignon, P. Vischia, A. Zucchetta, D. Ceoldo, C. Gottardo, N. Riolfi, A. Balata, M. Migliorini, A. Casa, V. Fioroni, G. Delaini, M. Fumanelli, C. Maccani, H. Hanif, F. Chiandotto, M. Mojsovska, S. Tosato, B. dal Sasso, A. Demin, L. Quagliarella, A. Breccia, S. Yadav, R. Neshat, S. Guglielmini, E. Arcolin
- Ph. D.: Dr. Giorgio Cortiana, Dr. Marco de Mattia, Dr. Mia Tosi, Dr. Luca Perrozzi, Dr. Alberto Zucchetta, Dr. Martino dall'Osso, Dr. Pablo de Castro Manzano, Dr. Hevjin Yarar, Dr. Lukas Layer, Dr. Federico Nardi.
Dissemination, Reviews, Refereeing
CONFERENCE TALKS, SEMINARS AND COLLOQUIA
Selected conference talks
Selected colloquia and seminars at Universities and Research institutes
- "Artificial Intelligence for Physics Research", Vth USERN Congress, Tehran 2020.
- "From SU(3) to Three Quark Families", 8th ICNFP, Kolimpari 2019 (invited lecture at M. Gell-Mann memorial session).
- "Hadron Collider Searches for Diboson Resonances", 7th ICNFP, Kolimpari 2018 (invited plenary talk).
- "Hemisphere Mixing", EPS 2017, Venezia lido.
- "Recent Results of the CMS Experiment", 6th int. conference on HEP in the LHC era, Valparaiso 2016 (invited talk).
- "Standard Model Tests at the Tevatron", PASCOS, Imperial College, London 2007.
- "Searches for the Standard Model Higgs Boson at the Tevatron", Moriond QCD, La Thuile 2005.
- "Top Studies", Frontier Science 2002, Frascati 2002 (invited summary talk).
- "Sticking to the roots of machine learning", PhyStat Seminar, CERN 15 June 2022.
- "Fundamental Statistics for Discovery in Fundamental Physics", Physics Colloquium, Universite' Catholique de Louvain, 14 June 2018.
- "Fundamental Statistics for Discovery in Fundamental Physics", Oxford University, 24 April 2018.
- "Extraordinary Claims: The 0.000029% Solution", Physics Colloquium, Tel Aviv University, 1 January 2017.
- "Anomalies in Collider Data", Physics Colloquium, Northwestern University, 11 November 2016.
- "Status and Prospects of Higgs Searches at the Tevatron", Universidad de Valencia, 8 April 2010.
- "Anomalous multi-muon events in CDF", Universite' de Geneve, 20 March 2009.
- "Observation of Z Decays to b-Quark Pairs at the Tevatron Collider", Massachusetts Institute of Technology, 24 September 1998.
PUBLISHING AND ORGANIZATION OF CONFERENCES
As an editor for two high-level peer-reviewed journals (Reviews in Phyics
and Physics Open
) for Elsevier Publishing co., I actively search for interesting review articles as well as innovative research papers - please contact me
if you are interested in publishing with us.
I have contributed as a member of local organizing committees, as session chair, or session convener to the organization of several conferences, workshops, and dissemination events in particle physics and related topics:
- European Physical Society Conference on HEP (Venezia Lido, Italy 2017), member of local organizing committee
- Quark Confinement and the Hadron Spectrum: ideator and chair of session on "Statistical Methods for Physics Analysis in the XXI Century" (2016-present); member of local organizing committee, 2016.
- International conference on New Frontiers in Physics (2014-present), organizer of parallel sessions, organizer of social events, chair of plenary sessions
- INFN School of Statistics (2013-present), member of scientific organizing committee
- Darkmachines collaboration workshops (2018-present), member of organizing committee, chair of sessions
- International Workshop on Advanced Computing and Analysis Techniques in Physics Research (Saas-Fee, 2019), chair of parallel session
- MODE Workshop on differentiable programming for fundamental physics: member of organizing committee (2021-).
REVIEWS AND REFEREEING
I have peer-reviewed scientific publications for the following journals and publishers: Nuclear Instruments and Methods in Physics Research A, Computer Physics Communications, Journal of Instrumentation, Physics Math Central A, The Review of Particle Properties, Il Nuovo Cimento, International Journal of Modern Physics A, Computing and Software for Big Science, Progress of Particle and Nuclear Physics, MDPI Instruments, MDPI Symmetry, SciPost, Physica Scripta, NeurIPS, Nature Communications, Springer Nature, Physics Review D, JHEP, Reviews in Modern Physics, Princeton Press, Physical Review Letters, LHEP, Machine Learning in Science and Technology.
I have reviewed grant proposals for INFN (Italy), the NWO and the FOM (the Netherlands), the STFC and the Royal Society (Great Britain), the QNRF (Qatar), the HSE (Russia), the European Community Horizon 2020 program (ITN and ERC), and the CNRS (France). In addition, I am currently a referee of the BES III and MUonE experiments for INFN.
I am a member of the Advisory Board of the EC-funded SilentBorder project
, and of the advisory board of the USERN organization
. I am also a member of the Editorial Board of "MDPI Particles"
I have selected researchers for prizes awarded by INFN
, the USERN organization
, the International Data Analysis Olympiad
, and the CMS experiment
My outreach activity is intense and multi-pronged:
I have also organized and/or given presentations at over 30 public conferences, high-school lectures, and outreach events. Below I list a short selection of such events.
- Invited talk ("Communicating discoveries in the blog era") and panel discussion on "Blogs, Big Physics and Breaking News" at the World Conference of Science Journalists, London 2009
(with Matthew Chalmers and James Gillies, see a summary by M. Durrani on Physics World here )
- Invited talk "Universe Dissectors" at TED-X Flanders, Antwerp 2011 (with Peter Woit, see video on YouTube).
- Invited guest to the talk show "Il vaso di Pandora" ("Istruzione tradizionale o valorizzazione dei talenti?" - see YouTube video) for the TeleChiara network, 2016 (with Paola Zocca).
- Public lecture at Festivaletteratura 2018 Mantova on "Scienza e societa'" (with Massimiano Bucchi).
- Panel discussion on "Artificial Intelligence: past, present and future" at DESY, Hamburg (7 July 2019, with Pierre Baldi, Andrey Ustyuzhanin, Glen Cowan).
Collaboration & networking
COLLABORATION AND NETWORKING
Besides participating in the CMS experiment at the CERN LHC (and previously in the CDF experiment at the Fermilab Tevatron collider), I am involved in the following collaborative endeavours:
- MODE, an international collaboration of physicists and computer scientists developing differentiable programming tools for the end-to-end optimization of the design of particle physics detectors
- DarkMachines, an international collaboration of over 100 astronomers, physicists, astrophysicists and computer scientists developing machine learning tools for dark matter searches
- GradHep, a small group of physicists and computer scientists developing differentiable programming tools for the optimization of physics measurement
- ML-INFN, a project for an end-to-end use of machine learning for INFN research
- SWGO, an ultra-high-energy Gamma Ray ground-based detector
In addition, I am or have been involved in the following EC-funded projects:
- as Scientific Coordinator and PI of the INFN node for the AMVA4NewPhysics network, an ETN focusing on machine learning developments for HEP research (2014-2019)
- as PI of the INFN-Padova node and Outreach Coordinator for the INSIGHTS network, an ETN focusing on statistics and machine learning advancements for scientific research (2017-present)
- as a member of iMPACT, an ERC-Consolidator granted project on a fast device for proton therapy led by Prof. P. Giubilato (Univ. Padova)
||Dr. Tommaso Dorigo
First Researcher, INFN-Padova
Email: dorigo (at) pd (dot) infn (dot) it
Office tel.: +39 0499677230
Mobile tel.: +39 3666995594
Dipartimento di Fisica e Astronomia "G.Galilei"
via Francesco Marzolo 8,