Tommaso Dorigo Homepage

Personal page of
TOMMASO DORIGO, Ph. D.

First Researcher @ INFN

Particle Physics
Statistical Inference
Data Analysis
Machine Learning

ABOUT

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 here .

HIGHLIGHTS

Leadership

Coordinator of the MODE Collaboration, a group with a cutting-edge research program at the crossroads of particle physics and artificial intelligence, 2020-present
Member of the policy making council of the USERN organization, 2022-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

Innovation

Recipient of Marie Curie innovative training network grants (2.4M euro, AMVA4NewPhysics 2015; 3.0M euro, INSIGHTS 2017 (0.36M to INFN-Padova))
Author of innovative algorithms for data analysis (MuScleFit, Inverse Bagging, Hyperball, Hemisphere Mixing, RanBox, INFERNO)

Dissemination

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

News

September 15th: I have been elected as a member of the policy making council of the USERN organization.
On November 10th I will chair the one-day workshop on "Artificial Intelligence for Research and Society" I organized at the VII USERN Congress in Muscat, Oman.
On September 13th I will give the opening talk to the second MODE workshop on "Differentiable programming for experiment design" in Kolymbari, Crete.
On September 5th I will give a talk on "A 66-million parameter kNN algorithm" at the XI ICNFP conference in Kolymbari, Crete.
On September 1st I will give an introductory lecture on Machine Learning at the XI ICNFP conference in Kolymbari, Crete.
On Aug 16 I have been invited by O. Behnke and L. Lyons to take part in the "BIRS workshop on Systematics in HEP" at Banff, April 23-28 2023.
I have been invited to speak at the "Hammers and Nails" workshop, at the Weizmann Institute in Rehovot (IS). On August 10th I will speak there on the topic of end-to-end optimization of experiments.
The book "Multidisciplinarity and Interdisciplinarity in Health" has been published by Springer. It contains a chapter I contributed to, "Ethical Deliberation on AI-Based Medicine".
On July 6th I will give a seminar on differentiable programming for experiment design at RHUL.
I gave an online 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".
October 14: Giovanni Bianchi and I discussed "Art and Artificial Intelligence" at a public conference at Caffe' Pedrocchi, in Padova. The event is recorded and available on YouTube.
September 28: I gave a lecture at the "Machine Learning for HEP, on and off the lattice" workshop at ECT Trento.
September 27-30: I was invited to the QGMM (COST action 18108)-funded PhD school in Corfu (Greece), where I gave 6 hours of lectures on Statistical data analysis.
August 23-29: I participated in the X ICNFP conference in Kolympari (Crete), chaired a session on Machine learning for fundamental physics, and gave a presentation on "Toward the end-to-end optimization of experimental design".
August 2-6: I chaired the parallel sessions on "Statistical Methods for Physics Analysis in the XXI Century" at the "XIV Quark Confinement and the Hadron Spectrum" virtual conference.
July 15th: I gave a presentation titled "Application of differentiable programming to fundamental physics research" at the Carnegie-Mellon University workshop "From Quarks to Cosmos with AI".
July 12-15th: I directed a regression challenge for the Hackathon at the CMU workshop (see above).
June 30th: on July 6th I will give a presentation titled "RanBox: Anomaly Detection in the Copula Space" at the ML4JETS workshop in Heidelberg.
June 19th: the article I co-authored with Angelos Alexopoulos and seven other colleagues of the CREATIONS network, "The colours of the Higgs boson: A study in creativity and science motivation among high-school students in Italy", has been submitted to "Smart Learning Environments" Springer journal.
June 10th: I submitted to the arXiv the paper "RanBox: Anomaly Detection in the Copula Space". You can get a copy of the submitted version here.
May 27th: I am giving a seminar on automated optimization of detector design to the department of Physics of University of Padova.
May 18th: The 95-pages-long article "Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider", which summarizes the results of research performed by the AMVA4NewPhysics ITN, has been submitted for publication on Reviews in Physics and is now available in the Cornell arXiv preprint server.
May 15th: I have been invited by COST action CA18108 ("Quantum gravity phenomenology in the multi-messenger approach") to give a 6 hours course in Statistics at their first Ph.D. training school, which will take place in Corfu (Greece) from Sep.26 to Oct 5.
May 13th: I will give an invited lecture on Neural Network applications to HEP research at the ML Hackathon (June 7-9th).
May 1st: I am a collaborator to a project titled "Statistical Procedures and Performance Measures for Simulator-Based Frequentist Inference" by statisticians at Carnegie-Mellon University which was awarded a grant by the NSF (abstract 2053804).
Apr 24th: On July 12th to 16th a conference titled "From Quarks to Cosmos with AI" will take place at Carnegie-Mellon University. I will give a 50'+10' plenary talk there, and hold a hackathon on ML applications to data analysis.
Apr 22nd: I have been invited to give a seminar by the ORIGINS Data Science Lab in Munich. The seminar will be held online on June 18th.
Apr 21st: APPEC published on its web site an interview of me about the MODE collaboration.
Apr 20th: I was invited to give a plenary talk at the Artintel 2022 conference on Artificial Intelligence, Machine Learning and Data Science
Apr 7th: I was interviewed, and then quoted by Dan Garisto on his piece for Scientific American about the g-2 Fermilab measurement
Feb 16th: I gave a presentation about the MODE research program at the italian meeting of the RDFA collaboration, working on the design of a future FCC-ee detector
Feb 1st: I have been appointed as a member of the Advisory Board of the "SilentBorder" EC-funded project.
Feb 1st: on March 5th I will give a lecture on "L'intelligenza artificiale per la ricerca in fisica fondamentale: presente e futuro" (AI for research in fundamenta physics: present and future) at the Accademia Nazionale dei Lincei, during an event titled "Intelligenza artificiale, robotica e macchine intelligenti: ricadute etiche e sociali" (AI, robotics and intelligent machines: ethical and social repercussions".
Jan 26th: I have been invited to give a talk at the Machine Learning Journal Club of CMS on Friday Feb 5th at 2PM CET.
Jan 22th 2021: on Feb 26th at 5PM I will give a talk at a STAMPS meeting of Carnegie-Mellon University on "Incorporating systematic uncertainties into ML methods for HEP".
Jan 19th 2021: The book-ready version 2 of my preprint "Dealing with Nuisance Parameters with Machine Learning in High Energy Physics: a Review", due to be published in a book on "Artificial Intelligence for HEP", is available in the arXiv.
Nov. 25th 2020: I gave an invited seminar on "Incorporating systematic uncertainties in machine learning models in HEP" at the Instituto Superior Tecnico of Lisbon (PT)
Nov. 24th: I gave a lecture at the International Data Analysis Olympiad in Moscow
Nov. 8th: I was invited as a honorary speaker to the Vth USERN Congress, Teheran (Iran), where I gave a lecture on "Artificial Intelligence for Physics Research, and Physics Research for Artificial Intelligence" and chaired a workshop on Artificial Intelligence.
Oct. 15th: for the "Galileo Week of Science and Innovation" I gave a public lecture in Sala Paladin, Palazzo Moroni, Padova, on the topic of the connections between art and science and the Art & Science Across Italy organization.
Sep. 28th, 30th, Oct 2, 5, 7, 9, 12, 14, 16, 19, 21, 23 etc.: I am holding lectures on "Particle Physics: Foundations, Instruments, Analysis Methods" for the master in Statistical Science of University of Padova. Lectures are in person as well as online on zoom. Contact me if you wish to follow them.
Sep. 29th: I published a piece on "Systematic Uncertainties: the new target of Machine Learning for HEP" in the CERN EP Newsletter, available online.
Sep. 28th: I gave an interview to Andrea Idini (Lund University) for "MEETSCIENCE". The recording of the interview is available on YouTube.
Sep. 20th: I have been accepted as a member of the ELLIS Society.
Sep. 6th: I gave an invited talk on "Reducing the impact of nuisance parameters in physics measurement with machine learning" at ICNFP IX, Kolympari (Greece).
Sep. 1st: I have been appointed as co-chair (with Marta Felcini) of the "Thesis Committee" of the CMS experiment, for the period Sep 2020 - Aug 2022.
Aug. 25th: I published the preprint article T. Dorigo, J. Kieseler, L. Layer, and G.C. Strong, "Muon Energy Measurement from Radiative Losses in a Calorimeter for a Collider Detector", arXiv:2008.10958[physics.ins-det] (2020).
Aug. 14th: I gave a STAMPS webinar at the Department of Statistics of Carnegie Mellon University (US)
July 31st: I joined today the Editorial Board of the journal MDPI particles as a honorary member.
July 20th: I gave an invited lecture at the YANDEX Machine Learning school for High-Energy Physics, EPFL Lausanne (Switzerland)
July 20th: the article T. Dorigo and P. de Castro Manzano, "Dealing with nuisance parameters with machine learning in high-energy physics analysis" is available on the arxiv.
July 17th: I gave a talk on "Anomaly Detection with RanBox" at the Anomaly Detection Mini-Workshop, held virtually.
On July 6th I was hosted by David Orban in his interactive show Searching for the question live, streaming online on Facebook, Twitter, Youtube. We talked about HEP, artificial intelligence, and science communication. You can listen to the full interview here.
June 23rd: The article T.Dorigo, "From SU(3) to Three Quark Families: Hard-Learned Lessons" has been published on Physica Scripta (T.Dorigo, Phys. Scr. 95 (2020) 084004). You may download a copy here
June 19th: The article T. Dorigo, "Geometry Optimization of a Muon-Electron Scattering Detector", arXiv:2002.09973 (2020) is now available for download at the Physics Open journal site.
March 5th: due to the sanitary emergency, the following planned events have been postponed or canceled:
- Invited seminar at the University of Bergen, March 7th (to be rescheduled)
- Participation to the jury of the IDAO2020 machine learning challenge at the higher school of Economics, Moscow April 1-4th (canceled)
- Invited lecture at the workshop "Intelligenza Artificiale, Robotica e Macchine Intelligenti", Accademia Nazionale dei Lincei, Roma, April 23 (rescheduled to April 2021)
- Invited colloquium at the University of Lund, May 9th (rescheduled to May 2021)
- Invited seminar at the University of Nijmegen, May 25th (canceled)
- Invited lecture at the University of Seoul, South Korea, July (canceled)
- Cycle of lectures in Statistics for the CORFU COST action 18108 school, September (rescheduled to April 2021)
- Invited talk at the workshop Machine Learning for High Energy Physics, on and off the Lattice, ECT Trento, Sept. 28th-Oct 2nd 2020, postponed to September 2021

PARTICLE PHYSICS

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, RanBox).
Selected publications:

CMS Collaboration, Search for Nonresonant Higgs boson pair production in the bbbb final state at sqrt(s)=13 TeV", J. HEP 04 (2019) 112.
CMS Collaboration, Search for a pseudoscalar boson decaying into a Z boson and the 125 GeV Higgs boson in llbb final states, Phys. Lett. B748 (2015) 221.
CMS Collaboration, Search for a Higgs boson decaying into a b-quark pair and produced in association with b quarks in proton-proton collisions at 7 TeV, Phys. Lett. B722 (2013) 207.
CMS Collaboration, Performance of CMS muon reconstruction in pp collision events at sqrt(s) = 7 TeV, J. INST. 7 (2012) 10002.

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.
Selected publications:

J. Donini et al., Energy Calibration of b-quark jets with Z->bb decays at the Tevatron collider, Nucl. Instr. Meth. Phys. Res. A596 (2008) 354.
T. Dorigo, The Muon System Upgrade for the CDF II Experiment, Nucl. Instr. Meth. A461 (2001) 560.
T. Dorigo, Observation of Z Decays to b-Quark Pairs at the Tevatron Collider, arXiv:hep-ex/9806022 (1998).
F. Abe et al., First Observation of the All-Hadronic Decay of top-antitop Pairs, Phys. Rev. Lett. 79 (1997) 1992.

Statistics and Machine Learning

STATISTICS AND MACHINE LEARNING

Statistics
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.

Machine Learning
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 and INSIGHTS (see below).
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.

TEACHING ACTIVITIES

Current teaching activities

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)

Previous teaching activities at undergraduate level

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

Invited cycles of lectures at advanced graduate schools

"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.

THESIS OFFERS

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

Master 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)

Laurea Thesis opportunities

Application of anomaly detection techniques to new physics searches with CMS
Particle ID with deep learning in a highly granular detector

Present and past advisorship activities
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, 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

"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).

Selected colloquia and seminars at Universities and Research institutes

"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

Publishing
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.

Conference organization
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

Reviews
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.

Refereeing
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 ANR and CNRS (France). In addition, I am currently a referee of the BES III and MUonE experiments for INFN.

Advisory
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" journal.

Prizes
I have selected researchers for prizes awarded by INFN, the USERN organization, the International Data Analysis Olympiad, and the CMS experiment

OUTREACH ACTIVITIES

My outreach activity is intense and multi-pronged:

I have been active in science outreach with a blog since 2005. The blog is currently hosted by the Science2.0 site; overall, it has collected over 15 million visits to a total of over 1400 science popularization articles.
In 2016 I published the book "Anomaly! Collider Physics and the Quest for New Phenomena at Fermilab", where the story of the top quark discovery and a number of other new physics searches with the CDF detector at Fermilab are described. If you want to read it but do not want to purchase it, please contact me to get a non-distributable pdf version.
I wrote several articles on physics research topics in Italian newspapers (Il Sole-24 Ore, Il Manifesto), and two feature articles on "Physics World" (March 2011 issue: "On the road to discovery" and "Signatures of New Physics").
I am the organizer of Venice events and exhibits for Art and Science Across Italy, an outreach project to involve high-school students in physics-themed artistic creations.
I am the outreach coordinator of the INSIGHTS ETN.

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)

CONTACTS

Send e-mail	Dr. Tommaso Dorigo First Researcher, INFN-Padova Email: dorigo (at) pd (dot) infn (dot) it
Phone:	Office tel.: +39 0499677230 Mobile tel.: +39 3666995594
Snail mail:	Dipartimento di Fisica e Astronomia "G.Galilei" via Francesco Marzolo 8, 35131 Padova ITALY