C.V.

Sergei V. Gleyzer, Ph. D.

 

Office: Gallalee Hall 320B

Office Fermilab: WH11E

Office CERN: 32-R-C17

Telephone: 1 (205) 348-7869

Email: sgleyzer@ua.edu

Email: sergei@cern.ch

 

Address:

University of Alabama

Department of Physics and Astronomy

Tuscaloosa, AL 35401

United States

 

 

EDUCATION

Ph.D.                   Florida State University, High-Energy Physics, Thesis: “Search for the                              2011

                             Dark Matter Signature in Lepton Jet Final State at √s = 7 TeV”,

                             Graduate advisor: Vasken Hagopian

M.S.                     Florida State University, High-Energy Physics, advisor: Vasken Hagopian                       2006

B.S.                      Carnegie Mellon University, Physics                                                                                       2004

 

 

ACADEMIC POSITIONS

Assistant Professor          Department of Physics and Astronomy, University of Alabama, USA              2019 – present

Dist. Research Fellow      Department of Physics, University of Florida, USA                                               2015 – 2019

Research Fellow                Deutches Elektronen-Syncrotron (DESY), Germany                                             2012 – 2015

Research Assistant           Department of Physics, Florida State University, USA                                         2006 – 2011

 

 

SELECTED GRANTS and AWARDS

NSF:                              Slingshot: Decoding Dark Matter through Gravitational Lensing (PI)                  2021 – 2024

UA:                               CARSCA Award (PI)                                                                                                            2021

UA:                               DeepLense CyberSeed Award (PI)                                                                                 2020 – 2021

UA:                               ORED SGP Award (PI)                                                                                                       2020 – 2021

DOE/USCMS:              2 x Software&Computing R&D for HL-LHC Postdoc Co-Fund Award (PI)             2020 – 2022

DOE:                             Research in Elementary Particle Physics: Energy Frontier (Co-PI)                        2020 – 2023

NSF:                              Circumgalactic Dictionary: An Interpretation Guide (Co-PI)                                  2020 – 2023

Fermilab:                     2 x LHC Physics Center Distinguished Researcher Fellowship                              2018 – 2020

EU H2020:                   INSIGHTS Grant Award in Machine Learning                                                             2018 – 2021

NASA:                           Grant Award for Machine Learning for Planetary Science                                     2016 – 2019

DESY:                            Research Fellowship                                                                                                       2012 – 2014

Florida State:              Hagopian Family Endowment Award in High Energy Physics                               2009

 

RECENT COMMUNITY and RESEARCH ACCOMPLISHMENTS

Convener of CMS Collaboration Machine Learning Forum                                                                            2017 – 2020

Coordinator of the LHC Machine-Learning Working Group                                                                          2016 – 2018

Founder, convener of Inter-Experimental Machine Learning Working Group                                          2016 – present

Organizer, Chair and Coordinator vQCHS2021, AAAS2021, ICNFP 2019, LHCP 2019, SUSY 2019,          2016 – present

                                                             CPAD 2018, MLJETS 2018 QCHS 2018, CHEP 2018, ACAT2017

Member of Compact Muon Solenoid (CMS) Collaboration                                                                              2006 – present

Member of Rubin Observatory LSST Strong Lensing Science Collaboration                                                2020 – present

 

RECENT INVITED PLENARY TALKS

ENFPC 2021                                                                                                                                                             Sep. 2021

“Modern Deep Learning in High-Energy Physics”, invited plenary talk, Brazil

Yale Center for Astronomy and Astrophysics                                                                                                 May 2021

“Deep Learning for High-Energy Physics and Strong Gravitational Lensing Cosmology”, invited seminar, USA

University of Puerto Rico Mayagüez                                                                                                                  Oct. 2020

“Deep Learning for High-Energy Physics and Strong Gravitational Lensing Cosmology”, invited colloquium, USA

ENFPC 2020   (postponed to 2021)                                                                                                                       Sep. 2020

invited plenary talk on “Machine Learning Advances in Particle Physics”, Natal, Brazil

APS 2020 April Meeting                                                                                                                                         Apr. 2020

invited plenary talk on “Machine Learning in High-Energy Physics”, Washington DC, United States

Miami 2019                                                                                                                                                              Dec. 2019

invited plenary talk on “Machine Learning at the LHC”, Ft. Lauderdale, United States

Global Innovation Forum: Transforming Intelligence                                                                                    Oct. 2019

invited keynote talk on “Science and Artificial Intelligence”, Yerevan, Armenia

Interpreting LHC Run 2 Data and Beyond Workshop                                                                                    June 2019

invited plenary talk on “Machine Learning at the Large Hadron Collider”, ICTP Trieste, Italy

Inter-experimental LHC Machine Learning Workshop                                                                                  Apr. 2019

invited keynote talk on “Machine Learning in High-Energy Physics: Today and Tomorrow”, CERN

University of Alabama Physics Department                                                                                                   March  2019

“Opportunities for New Physics with Modern Deep Learning in CMS”, colloquium, Tuscaloosa, USA

Fermilab Wine and Cheese Seminar                                                                                                                  Nov. 2018

“Deep Learning for the Future of High-Energy Physics”, Chicago, USA

World Vaccine and Immunization Congress West Coast 2018                                                                    Nov. 2018

invited plenary panelist on “Leveraging Power of AI & Machine Learning for

Accelerated Vaccine Development”, San Diego, USA

Heavy Particles and Flavor Physics (LISHEP2018)                                                                                           Sep. 2018

invited plenary, Salvador Bahia, Brazil

Machine Learning Conference in Science and Engineering                                                                         May 2018

“Machine Learning at the Large Hadron Collider”, invited plenary, Pittsburgh, USA

CEA-Saclay                                                                                                                                                               Nov. 2017

“Machine Learning in Particle Physics”, invited seminar, Paris, France

XVIII International Workshop on Advanced Computing and Analysis Techniques                                Aug. 2017

“Machine Learning Advancements in Particle Physics”, invited plenary, Seattle, USA

International Workshop on Big Data Tools for Physics and Astronomy                                                   June 2017

“Machine Learning at the LHC”, invited plenary, Amsterdam, Netherlands

Machine Learning Challenges in Complex Multiscale Physical Systems                                                   Jan. 2017

“Machine Learning in High-Energy Physics”, invited plenary, Munich, Germany

 

 

SELECTED PUBLICATIONS

 

SERVICE ACTIVITIES

SNOWMASS Planning Process: Energy Frontier and Community Engagement Frontier  Liason            2020 – present

Founder of Machine Learning For Science (ML4SCI) Google Summer of Code Program                                       2021

NSF CDS&E Proposal Review Panel Member                                                                                                                     2020

Organizer Machine Learning for Science Hackathons                                                                                 2018 – present

Editor and organizer HEP Community White Paper on Machine Learning                                                                2019

NSF Cyberinfrastructure for Sustained Scientific Innovation Review Panel Member                                                 2018

Reviewer PRL, Nuclear Instruments and Methods, Computing and Software for Big Science,          2017 – present

IEEE Letters of Computer Society, Journal for High-Energy Physics and others

Founder of HSF Google Summer of Code Program (25/29/36 students in 2018/19/20)                                           2017

CERN Knowledge Transfer (KT) Consultant on Machine Learning                                                               2016 – present

Advisory Board Member of Machine Learning in HEP Summer School                                                     2016 – present

Creator of Project CODER                                                                                                                                    2016 – present

Co-founder of Open Data Working Group CERN High School Teacher Program                                      2016 – present

CMS Data Quality Monitoring Supervisor (FNAL, DESY, CERN)                                                                           2009 – 2010

 

 

TEACHING

4th International School of Deep Learning (DeepLearn2021), invited lectures                                                July 2021

UA PH582, PH482 Machine Learning                                                                                                                    Spring 2021

UA PH101 General Physics                                                                                                                                           Fall 2020

UA PH101 General Physics (Studio Format)                                                                                                          Spring 2020

3rd International Summer School of Deep Learning (DeepLearn2019), invited lectures                                       2019

INFN School of Statistics 2019, invited machine learning lectures                                                                               2019

Workshop on Statistics and Machine Learning, CERN, machine learning lectures                                                   2018

2nd International Summer School of Deep Learning (DeepLearn2018), invited lectures                                      2018

Workshop on Machine Learning, UNAM, invited lectures                                                                                             2018

International Summer School of Particle Physics, invited lectures                                                                             2017

European Scientific Institute, invited lectures and tutorials in machine learning                                         2016 – 2017

National Academy of Science of Ukraine, invited lectures in machine learning                                                        2017

CERN Open Lab, invited lectures and tutorials in machine learning                                                                2016 – 2018

CERN High School Teacher Program, Open Data Working Group, 5 training sessions                                             2016

CERN EPLANET Mini-Course, Brazil, invited lectures and tutorials in machine learning                                          2015

Data Science at LHC Workshop, 2 invited lectures and tutorials in machine learning                                           2015

DESY Statistics School, 3 lectures and tutorials in machine learning                                                                          2014

Southeastern CMS Physics Workshop, lecture and tutorial in machine learning                                                      2007

Carnegie Mellon University, Florida State University Physics/Astronomy Laboratory                                2003 – 2005

 

PUBLIC ENGAGEMENT

US LHC Users Association , High-Energy Physics Community Trip to US Congress, Washington DC                     2021

Machine Learning For Science (ML4SCI) Hackathon, virtual, organizer                                                                     2020

US LHC Users Association , High-Energy Physics Community Trip to US Congress, Washington DC                     2020

Machine Learning Hackathons, UA, INFN, CERN, Brown, University of Puerto Rico, organizer              2017 – present

CS4RI High School Student Outreach                                                                                                               2018 – present

Workshop on Outreach Training at CERN, organizer                                                                                                     2018

SCIFOO Camp, invited participant, GoogleX, Palo Alto, California                                                                                 2018

Fermilab UEC High-Energy Physics Community Trip to US Congress, Washington DC                                             2018

US LHC Users Association , High-Energy Physics Community Trip to US Congress, Washington DC                     2017

CODER High School Teacher Workshop, CMS Open Data Analysis with Jupyter, UF                                              2017

CODER High School Teacher Workshop, CMS Open Data Analysis with Jupyter, UF                                              2016

CODER High School Teacher Workshop, CMS Open Data Analysis with Jupyter, UCF                                           2016

Belmont Hill High School, Outreach Talk on the Large Hadron Collider and Higgs Boson                                      2014

FameLab Germany 2013, Outreach Talk on the Discovery of the Higgs Boson                                                         2013