You can download my CV as pdf here.

Research Interests

I am interested in physics beyond the Standard Model (SM) and how to answer fundamental questions about Nature around us. Especially I am interested in

  • Machine Learning Techniques:
    How can we use advanced Neural Networks to improve data analysis in Particle Physics?
    How can we understand what the Neural Networks learn, and what can we learn from that?

  • Effective Field Theories and their application to Higgs physics:
    How can we analyze the current experimental data as model-independently as possible and at the same time use a format that will still be usefull in 10 years from now?

  • The Phenomenology of the Higgs particle:
    Is it really the Higgs particle, as predicted by the Standard Model?
    And if it is not the Standard Model Higgs, what else is it?
    Can we explain the mass hierarchies or matter-antimatter asymmetry with it?

More details about my research projects can be found here.



I am a member of the MODE Collaboration. We use differential programming and deep generative models to optimize the design of future particle detectors.

Research Experience

Group Leader (tenure-track),

October 2023 to present
at the Institut für Hochenergiephysik (HEPHY) of the Austrian Academy of Sciences (ÖAW), Vienna, Austria
Research focus: Machine Learning for particle physics

ITP Fellow (Senior Postdoc),

October 2022 to September 2023
at the Institut für Theoretische Physik of the University of Heidelberg, Heidelberg, Germany
Research focus: Machine Learning for particle physics

Postdoctoral Associate,

October 2020 to September 2022
in the Department of Physics and Astronomy of Rutgers University, Piscataway, USA
Research focus: Machine Learning for particle physics

Feodor Lynen Research Fellow of the Alexander von Humboldt Foundation,

March 2018 to September 2020
hosted by Prof. Dr. M. Carena in the Theory Department of Fermi National Accelerator Laboratory (Fermilab), Chicago, USA
Research focus: Higgs Phenomenology beyond the Standard Model, Machine Learning

Postdoctoral Researcher,

November 2016 to February 2018
in the LHC Pheno Group of Prof. Dr. A. Pich at the Instituto de Física Corpuscular (IFIC), Valencia, Spain
Research focus: Effective Field Theories and Higgs Phenomenology

Scientific Assistant / Doctoral Student,

September 2013 to October 2016
in the group of Prof. Dr. G. Buchalla at the Arnold Sommerfeld Center of the Ludwig Maximilian University, Munich, Germany
Research focus: Higgs Effective Field Theories



Education

Dr. rer. nat. in Physics

Attended Ph.D. Schools:

Master of Science in Physics

  • Summer 2013, Ludwig Maximilian University, Munich, Germany
  • Master Thesis: An effective field theory for electroweak symmetry breaking including a light Higgs
  • Supervisor: Prof. Dr. G. Buchalla

Bachelor of Science in Physics



Awards and Fellowships

  • 03/2018 to 09/2020, Feodor Lynen Research Fellowship of the Alexander von Humboldt Foundation

  • 01/2018, “Universe PhD Award 2017” of the “Cluster of Excellence Universe” in Munich, category Theory, award for the best theoretical doctoral thesis in 2016/2017

  • 09/2013, Award for being among the best 10% of all graduating students in Physics: Refund of the tuition fees of the LMU Munich

  • 04/2012 to 03/2013, Scholarship holder of the Deutschland-Stipendium (Germany- Scholarship)

  • 08/2011 to 02/2012, Erasmus Scholarship for an exchange semester at the EPFL in Lausanne, Switzerland

  • 01/2011, Award for the best Bachelor Thesis of the Faculty 1 of the Brandenburg University of Technology Cottbus in the year 2010

  • 02/2009 to 06/2013, Scholarship holder of the Roland-Berger-Stiftung

  • since 07/2006, Member of the German Physical Society. The first year of the membership was an award for the best exam in physics in my school in the Abitur (final school exam).



Teaching Experience

Lecturing

High School level

  • 2-day block course with lectures in “Physics for becoming medical students” for the fellows of the Else-Kröner-Fellowship of the Roland-Berger-Foundation, given each in 2021 and 2022. (High school students that plan to study medicine after finishing school.)

Undergraduate level / Bachelor classes

  • Quantum mechanics for teachers (1 stand-in lecture for Prof. Dr. G. Buchalla at LMU Munich)

  • Theoretical Mechanics (1 stand-in lecture for Prof. Dr. T. Plehn at Heidelberg University)

  • Theoretical Thermodynamics (1 stand-in lecture for Prof. Dr. T. Plehn at Heidelberg University)

Graduate level / Master classes

  • Quantum electrodynamics (1 stand-in lecture for Prof. Dr. G. Buchalla at LMU Munich)
  • Machine Learning for High-Energy Physics (1 stand-in lecture for Prof. Dr. D. Shih at Rutgers University)
  • Deep Generative Models for Particle Physics (lecture and tutorial), 3rd Terascale School of Machine Learning, Doctoral School at DESY Hamburg, October 2022
  • Normalizing Flows (90min lecture), Active Training Course “Advanced Deep Learning”, Doctoral School organized by ErUM-Data-Hub, November 2022
  • Modern Machine Learning for Particle Physics (4x 90min lectures and tutorials), KSETA doctoral program of Karlsruhe Institute of Technology (KIT), March 2023
  • Modern Machine Learning for (Particle) Physics, (8x 90min lectures and tutorials), 50th Heidelberg Graduate Days at the University of Heidelberg, April 2023
  • Generative Models at the LHC, (5x 90min lectures and tutorials), MITP School Machine Learning in Particle Theory, July 2023
  • Machine Learning in Particle Physics, (3x 45min lectures + tutorials), CRC TRR 257 Summer School “Particle Physics Phenomenology after the Higgs Discovery”, October 2024

Teaching Assistant

At BTU Cottbus

  • Introduction to Physics (2 weeks intensive course as part of the orientation program for new students)

At LMU Munich (8 terms in total)

  • Quantum electrodynamics (theoretical lecture for Master students, 1 term)
  • Advanced nuclear and particle physics (experimental lecture for Master students, 1 term)
  • QCD and Standard Model (theoretical lecture for Master students, 1 term)
  • Atomic and molecular physics (experimental lecture for Bachelor students, 1 term)
  • Electrodynamics (theoretical lecture for Bachelor students, 1 term)
  • Nuclear and particle physics (experimental lecture for Bachelor students, 1 term)
  • Quantum mechanics for teachers (theoretical lecture for Bachelor students, 2 terms)

Development of problem sheets

  • QCD and Standard Model (theoretical lecture for Master students at LMU Munich, 1 term)

  • Analytical Mechanics and Thermodynamics (theoretical lecture for Bachelor students at Heidelberg University, 1 term)\ Managing 390 students and 21 teaching assistants.

Supervising physics lab courses

  • physics lab course for physics Bachelor students (1 term at BTU Cottbus)
  • physics lab course for engineering Bachelor students (2 terms at BTU Cottbus)

Grading of homework assignments

  • Mathematik IT-3 (Analysis lecture for Bachelor students at BTU Cottbus, 1 term)

Student Co-Supervision

Undergraduate Projects

  • Lucas Clement, Rutgers University

Master's Thesis

  • Jan-Niklas Toelstede, LMU Munich
  • Imahn Shekhzadeh, University Hamburg
  • Florian Ernst, Heidelberg University

Doctoral Thesis

  • Dr. Joaquín Santos-Blasco, IFIC & Universidad de Valencia
  • Dr. Yikun Wang, Fermilab & University of Chicago
  • Dr. Anna Hallin, Rutgers University

Student Supervision

Undergraduate Projects

  • Nina Pellosch, TU Vienna



Service



Outreach

  • Presentation “Auf der Jagd nach Dunkler Materie — mit Koalas und Maschinellem Lernen”, Dark Matter Day 2024, 10/2024.

  • Presentation about (my) work as a researcher to highschool students, organized by the Roland Berger Foundation, 03/2023.

  • Presentation about (my) work as a researcher to highschool students, organized by the Roland Berger Foundation, 10/2020.

  • Participating scientist in the monthly Fermilab event “ask-a-scientist”, 01/2020.

  • Participation in a two day workshop on outreach, organized by the Klaus Tschira Stiftung, as reward for my participation in the “KlarText” competition, 10/2017.

  • Participated in the “Expociencia”, open house day of IFIC, Valencia, Spain, 05/2017.

  • Participated in the “KlarText” competition of the Klaus Tschira Stiftung, writing an outreach essay about my doctoral thesis, 02/2017.



Publications

peer-reviewed
preprints

  • “Unifying Simulation and Inference with Normalizing Flows”,
    By Haoxing Du, Claudius Krause, Vinicius Mikuni, Benjamin Nachman, Ian Pang, David Shih.
    arXiv:2404.18992.

  • “Normalizing Flows for High-Dimensional Detector Simulations”,
    By Florian Ernst, Luigi Favaro, Claudius Krause, Tilman Plehn, David Shih.
    arXiv:2312.09290.

  • “Master Formula for One-Loop Renormalization of Bosonic SMEFT Operators”,
    By Gerhard Buchalla, Alejandro Celis, Claudius Krause, Jan-Niklas Toelstede.
    arXiv:1904.07840.

  • “Comment on “Analysis of General Power Counting Rules in Effective Field Theory” “,
    By Gerhard Buchalla, Oscar Cata, Alejandro Celis, Claudius Krause.
    arXiv:1603.03062.

Doctoral Thesis
community projects

  • “CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation”,
    By Claudius Krause (main editor), Michele Faucci Giannelli (editor), Gregor Kasieczka (editor), Benjamin Nachman (editor), Dalila Salamani (editor), David Shih , Anna Zaborowska (editor), et al.
    arXiv:2410.21611

  • “Modern Machine Learning for LHC Physicists”,
    Lecture Notes by Tilman Plehn, Anja Butter, Barry Dillon, Theo Heimel, Claudius Krause, Ramon Winterhalder.
    arXiv:2211.01421

  • “Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning”,
    Contribution to Snowmass 2021 (P. Shanahan, K. Terao, D. Whiteson et al.).
    arXiv:2209.07559

  • “Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper”,
    The MODE collaboration.
    arXiv:2203.13818, Reviews in Physics 10, June 2023, 100085

  • “Event Generators for High-Energy Physics Experiments”,
    Contribution to Snowmass 2021 (J.M. Campbell et al.).
    arXiv:2203.11110, SciPost Phys. 16, 130 (2024).

  • “New directions for surrogate models and differentiable programming for High Energy Physics detector simulation”,
    Contribution to Snowmass 2021 (A. Adelmann et al.).
    arXiv:2203.08806.

  • “Machine Learning and LHC Event Generation”,
    Contribution to Snowmass 2021 (A. Butter et al.).
    arXiv:2203.07460, SciPost Phys. 14, 079 (2023).

  • “Higgs Physics at the HL-LHC and HE-LHC”,
    By HL/HE WG2 group (M. Cepeda et al.).
    arXiv:1902.00134.

  • “Handbook of LHC Higgs Cross Sections: 4. Deciphering the Nature of the Higgs Sector”,
    By LHC Higgs Cross Section Working Group (D. de Florian et al.).
    arXiv:1610.07922.

conference proceedings

  • “Advancing Generative Modelling of Calorimeter Showers on Three Frontiers”,
    By E. Buhmann, S. Diefenbacher, E. Eren, F. Gaede, G. Kasieczka, W. Korcari, A. Korol, C. Krause, K. Krueger, P. McKeown, I. Shekhzadeh, D. Shih.
    ML4PS at NeurIPS 2023, Machine Learning and the Physical Sciences, Workshop at the 37th conference on Neural Information Processing Systems (NeurIPS), December 2023.

  • “Classifying Anomalies THrough Outer Density Estimation (CATHODE)”,
    By A. Hallin, J. Isaacson, G. Kasieczka, C. Krause, B. Nachman, T. Quadfasel, M. Schlaffer, D. Shih, M. Sommerhalder.
    ML4PS at NeurIPS 2021, Machine Learning and the Physical Sciences, Workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS), December 2021.

  • “Effective theories and resonances in strongly-coupled electroweak symmetry breaking scenarios”,
    By Ignasi Rosell, Claudius Krause, Antonio Pich, Juan José Sanz-Cillero.
    arXiv:1910.01839, PoS EPS-HEP2019.

  • “Complete One-Loop Renormalization of the Higgs-Electroweak Chiral Lagrangian”,
    By Claudius Krause, Gerhard Buchalla, Oscar Catà, Alejandro Celis, Marc Knecht.
    arXiv:1907.07605, PoS CD2018 (2018) 072.

  • “Heavy resonances and the electroweak effective theory”,
    By Ignasi Rosell, Claudius Krause, Antonio Pich, Joaquín Santos, Juan José Sanz-Cillero.
    arXiv:1811.10233, PoS ICHEP2018 (2019) 316.

  • “Tracks of resonances in electroweak effective Lagrangians”,
    By Ignasi Rosell, Claudius Krause, Antonio Pich, Joaquín Santos, Juan José Sanz-Cillero.
    arXiv:1710.06622, PoS EPS-HEP2017 (2018) 334.



Conference Talks and Invited Seminars

  • Plenary Talk at the ML4Jets Conference, November 6, 2024
    LPNHE, Sorbonne University, Paris, France
    CaloChallenge 2022 — Final Evaluation and Lessons Learned

  • Seminar, October 29, 2024
    University of Geneva, Geneva, Switzerland
    Deep Generative Models in Particle Physics

  • Talk at “Physics in the AI era”, September 27, 2024
    University of Pisa, Pisa, Italy
    Generative Models in Particle Physics

  • Talk at “Make it (Net)work!” Seminar by MLA2S, September 2, 2024
    Austrian Academy of Sciences, Vienna, Austria
    Machine Learning at the Institute for High-Energy Physics (HEPHY)

  • Invited Seminar, May 29, 2024
    University of Graz, Graz, Austria
    Improving HEP Simulation and Analyses with Invertible Neural Networks

  • Flashtalk (+poster) at EuCAIFCon 2024, April 30, 2024
    Amsterdam, The Netherlands
    Flow-based generative models for particle calorimeter simulation

  • Talk at the Vienna Workshop on Simulations (VIEWS) 2024, April 27, 2024
    Vienna, Austria
    Deep Generative Models for Calorimeter Simulations

  • Talk at the COMETA WG2 topical meeting on Normalizing Flows in Particle Physics and Beyond, March 28, 2024
    via zoom
    Normalizing Flows for Calorimeter Simulation

  • Introduction at the COMETA WG2 topical meeting on Normalizing Flows in Particle Physics and Beyond, March 28, 2024
    via zoom
    Introduction to Normalizing Flows

  • Summary talk on Working Group 2 Activities of the COMETA COST Action, March 1, 2024
    Izmir, Türkiye

  • Talk at the FAKT Particle Physics Retreat, February 22, 2024
    Bruck a. d. Mur, Austria
    Deep Generative Models in Particle Physics

  • ARI Guest Colloquium, January 17, 2024
    Acoustic Research Institute (ARI), Institut für Schallforschung (ISF), ÖAW, Vienna, Austria
    Machine Learning & Particle Physics

  • Particle Theory Seminar, January 9, 2024
    University of Vienna, Vienna, Austria
    Improving HEP Simulation and Analyses with Invertible Neural Networks

  • Talk at the ML4Jets Conference, November 9, 2023
    DESY, Hamburg, Germany
    The Fast Calorimeter Simulation Challenge 2022

  • Invited Seminar at the ORIGINS Data Science Lab, August 4, 2023
    TU Munich, Garching, Germany
    Improving HEP Simulation and Analyses with Invertible Neural Networks

  • Remote Talk at the CMS ML Forum, June 28, 2023
    CERN, Geneva, Switzerland
    A First Look at the Fast Calorimeter Challenge 2022

  • Particle Theory Seminar, June 15, 2023
    University of Würzburg, Germany
    Improving HEP Simulation and Analyses with Invertible Neural Networks

  • Physics Colloquium, June 6, 2023
    Brandenburg Technical University, Cottbus, Germany
    How deep generative models change our understanding of Nature

  • Plenary Talk at the “CaloChallenge Workshop”, May 31, 2023
    Villa Mondragone, Frascati, Italy
    The Fast Calorimeter Challenge 2022: Results and The Road Ahead

  • Invited Plenary Talk at “PLANCK 2023 — The 25th International Conference From the Planck Scale to the Electroweak Scale”, May 22, 2023
    Ochata Campus, University of Warsaw, Poland
    Modern Machine Learning for Particle Physics

  • Invited Talk at “Prospecting for New Physics through Flavor, Dark Matter, and Machine Learning”, March 28, 2023
    Aspen Center for Physics, Aspen, Colorado, USA
    Machine Learning for Event Generation and Fast Simulation

  • Invited Talk at “AI and Quantum Information Applications in Fundamental Physics”, February 14, 2023
    Konjiam, South Korea
    Fast and Faithful (Calorimeter) Simulations with Normalizing Flows

  • Invited TTK Theory Seminar at the RWTH Aachen, January 19, 2023
    RWTH Aachen, Germany
    Searching the Unknown: Anomaly Detection at the LHC and with Gaia

  • Talk at “Foundation models and fast detector simulation”, November 21, 2022
    CERN, Geneva, Switzerland
    Calorimeter Simulation with Normalizing Flows

  • Invited Talk at the ML4Jets Conference, November 2, 2022
    Rutgers University, New Jersey, USA
    Generative Models for Fast Detector Simulation

  • Remote Phenomenology Seminar at the Oklahoma State University, October 20, 2022
    Oklahoma State University, Stillwater, Oklahoma, USA
    Improving HEP Simulation and Analyses with Invertible Neural Networks

  • Machine Learning in High Energy Physics, September 12, 2022
    HEPHY Vienna, Austria
    Normalizing Flows at the LHC - Preparing for the Future

  • Plenary Talk at the IAIFI Summer Workshop, August 8, 2022
    Tufts University, Medford, Massachusetts, USA
    Normalizing Flows at the LHC

  • Snowmass Community Summer Study Workshop, July 22, 2022
    University of Washington, Seattle, Washington, USA
    Machine Learning for Collider Theory

  • Particle Phenomenology Seminar at the ITP, Heidelberg University, June 23, 2022
    University of Heidelberg, Germany
    Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows: CaloFlow

  • Invited Talk at the “AI goes MAD” workshop, June 15, 2022
    Instituto de Física Teórica, Universidad Autónoma de Madrid, Spain
    Breaking Simulation Bottlenecks with Normalizing Flows

  • Invited Talk at the “Mitchell Conference on Collider, Dark Matter, and Neutrino Physics”, May 25, 2022
    Mitchell Institute at Texas A&M University, College Station, Texas, USA
    Fast and Faithful Generation of Calorimeter Showers with Deep Generative Models: CaloFlow

  • Remote Talk at the 10th Edition of the Large Hadron Collider Physics Conference (LHCP 2022), May 18, 2022
    online, hosted in Taipeh, Taiwan
    New developments in fast simulation with machine learning

  • Remote Talk at the CMS ML Forum on Normalizing Flows, April 20, 2022
    CERN, Geneva, Switzerland
    Application of Normalizing Flows to Calorimeter Shower Generation: CaloFlow

  • Joint virtual meeting of the HSF detector simulation and ML4Sim working groups, April 11, 2022
    The Fast Calorimeter Simulation Challenge 2022

  • Remote Theory Seminar at Fermilab, February 10, 2022
    Fermi National Accelerator Laboratory (Fermilab), Chicago, USA
    CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows

  • Remote Talk at the “Machine Learning for Fundamental Physics Group” meeting, December 2, 2021
    Lawrence Berkeley National Laboratory, California, USA
    CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows

  • Remote Talk at the “New ML Techniques for Simulation” meeting of the HEP Software Foundation, Detector Simulation Working Group, November 8, 2021
    virtual, worldwide
    CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows

  • Remote Talk at the “Machine Learning for Simulation” Meeting, October 28, 2021
    CERN, Geneva, Switzerland
    A Classifier as an Ultimate Metric: The CaloFlow Example

  • Remote Talk at the “IML Machine Learning Working Group” Meeting, October 5, 2021
    CERN, Geneva, Switzerland
    Normalizing Flows for Calorimeter Showers: When the Student beats the Teacher

  • (virtual) Seminar for Relayr Munich, September 29, 2021
    Relayr, Munich, Germany
    The ABC of Normalizing Flows: Application, Basics, and Concepts

  • (virtual) Talk at “First MODE Workshop on Differentiable Programming”, September 7, 2021
    Université catholique de Louvain, CP3, Belgium
    Generation of Calorimeter Showers with Normalizing Flows: CaloFlow

  • (virtual) Talk at “2021 Meeting of the Division of Particles and Fields of the American Physical Society (DPF21)”, July 12, 2021
    Florida State University, Tallahassee, Florida, USA
    CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows

  • (virtual) Talk at “ML4Jets 2021”, July 7, 2021
    University of Heidelberg, Germany
    CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows

  • (virtual) Talk at “Machine Learning for Particle Physics”, June 23, 2021
    MITP Virtual Workshop, Mainz, Germany
    Generative Modeling with Normalizing Flows: CaloFlow

  • Talk at the Rutgers Physics & Astronomy Machine Learning Group Meeting, February 8, 2021
    Rutgers University, New Jersey, USA
    Normalizing Flows and their Application to Particle Physics

  • Remote Talk at the CMS ML Forum on Event Generation, January 13, 2021
    CERN, Geneva, Switzerland
    i-flow: High-Dimensional Integration and Sampling with Normalizing Flows

  • (virtual) Theory Seminar at the University of Siegen, December 7, 2020
    University of Siegen, Germany
    Improving Event Generation with Machine Learning

  • Remote Talk at IML Machine Learning Working Group Meeting, September 8, 2020
    CERN, Geneva, Switzerland
    Efficient Event Generation with Normalizing Flows

  • (virtual) Theory Seminar at the ITP, Heidelberg University, June 9, 2020
    University of Heidelberg, Germany
    Efficient Event Generation with Normalizing Flows

  • (virtual) Talk at “Higgs and Effective Field Theories (HEFT) 2020, April 16, 2020
    via Vidyo, hosted by the Universidad de Granada, Spain
    The One-Loop Renormalization Group Equations of the Higgs-Electroweak Chiral Lagrangian

  • (virtual) Theory Seminar at NIKHEF, April 9, 2020
    NIKHEF Theory Group, Amsterdam, The Netherlands
    Numerical Integration and Event Generation with Normalizing Flows

  • Particle Physics Seminar at the University of Notre Dame, January 28, 2020
    Physics Department, University of Notre Dame, Notre Dame, USA
    i-flow: Numerical Integration and Event Generation with Normalizing Flows

  • Talk at “Particle Physics in Computing Frontier”, December 10, 2019
    Institute for Basic Science, Daejeon, South Korea
    Event Generation with Normalizing Flows

  • Physics Seminar at the University at Buffalo, October 8, 2019
    Physics Department, University at Buffalo, Buffalo, USA
    Improving Numerical Integration and Event Generation with Normalizing Flows

  • Talk at “In Search of New Physics Using SMEFT”, October 2, 2019
    Argonne National Laboratory, Chicago, USA
    Renormalization of the bosonic SMEFT operators

  • HET Brown Bag Seminar at the LCTP, September 25, 2019
    Leinweber Center for Theoretical Physics, University of Michigan, Ann Arbor, USA
    Improving Numerical Integration and Event Generation with Normalizing Flows

  • Blackboard talk at “The Energy Frontier Beyond LHC Run 2”, September 12, 2019
    Aspen Center for Physics, Aspen, USA
    Numerical Integration and Event Generation with Normalizing Flows

  • Talk at “Multibosons at the Energy Frontier”, July 26, 2019
    Fermi National Accelerator Laboratory (Fermilab), Chicago, USA
    Effective Field Theories and Anomalous Gauge Couplings

  • Theory Seminar at MITP, May 7, 2019
    Mainz Institute for Theoretical Physics, Johannes Gutenberg-Universität Mainz, Germany
    Higgs Effective Field Theories and their Renormalization

  • Theory Seminar at DESY, April 29, 2019
    Deutsches Elektronen Synchrotron (DESY), Hamburg, Germany
    Higgs Effective Field Theories and their Renormalization

  • Talk at “Higgs Effective Field Theories (HEFT) 2019, April 17, 2019
    Université catholique de Louvain, Belgium
    Master formula for one-loop renormalization of bosonic SMEFT operators

  • Theory Seminar at Argonne, March 19, 2019
    Argonne National Laboratory, Chicago, USA
    Higgs Effective Field Theories and their Renormalization

  • Theory Seminar at Cornell University, March 6, 2019
    Cornell University, Ithaca, USA
    Higgs Effective Field Theories and their Renormalization

  • Remote Talk at “Higgs HL/HE-LHC Autumn WG2 Meeting”, October 22, 2018
    CERN, Geneva, Switzerland
    κ vs. nonlinear Effective Theory & Higgs couplings precision overview

  • Talk at “Chiral Dynamics 2018”, September 17, 2018
    Duke University, Durham, USA
    Complete One-Loop Renormalization of the Higgs-Electroweak Chiral Lagrangian

  • Talk at “Particles, Strings, and Cosmology (PASCOS) Symposium 2018”, June 5, 2018
    Case Western Reserve University, Cleveland, USA
    Current and Future Constraints on Higgs Couplings

  • Theory Seminar at ASC, May 2, 2018
    Arnold-Sommerfeld Center for Theoretical Physics, Ludwig Maximilian University, Munich, Germany
    Current and future constraints on Higgs couplings in the nonlinear Effective Theory

  • Theory Seminar at IFIC, April 24, 2018
    Instituto de Física Corpuscular, Valencia, Spain
    Current and future constraints on Higgs couplings in the nonlinear Effective Theory

  • Talk at “Higgs Effective Field Theories (HEFT) 2018, April 16, 2018
    Johannes Gutenberg-Universität Mainz, Germany
    Complete One-Loop Renormalization of the Electroweak Chiral Lagrangian

  • Talk at “HL/HE LHC Meeting”, April 5, 2018
    Fermi National Accelerator Laboratory (Fermilab), Chicago, USA
    Current and future constraints on Higgs couplings in the nonlinear Effective Theory

  • Preisträgervortrag for the “Universe Cluster Ph.D. Award”, January 18, 2018
    Excellence Cluster “Universe”, Munich, Germany
    Higgs Effective Field Theories — Systematics & Application

  • Talk at “LHC Pheno”, December 19, 2017
    Instituto de Física Corpuscular, Valencia, Spain
    Signals of electroweak baryogenesis and the role of Higgs self-couplings

  • Talk at “Higgs Couplings 2017”, November 8, 2017
    University of Heidelberg, Germany
    A Bayesian Fit to Higgs Data Using HEPfit and the Electroweak Chiral Lagrangian

  • Theory Seminar at the ITP, Heidelberg University, October 24, 2017
    University of Heidelberg, Germany
    Effective Field Theories in Higgs Physics

  • Theory Seminar at Argonne, July 11, 2017
    Argonne National Laboratory, Chicago, USA
    Implications of Non-Decoupling UV-Physics

  • Talk at “Higgs Effective Field Theories (HEFT) 2017”, May 23, 2017
    Lumley Castle, Durham, United Kingdom
    Implications of Non-Decoupling UV-Physics

  • Talk at “Understanding the LHC”, February 12, 2017
    Physikzentrum Bad Honnef, Germany
    Heavy Resonances in the Electroweak Chiral Lagrangian

  • Theory Seminar at Fermilab, November 15, 2016
    Fermi National Accelerator Laboratory (Fermilab), Chicago, USA
    Higgs Effective Field Theories — Systematics & Applications

  • Talk at “Higgs Couplings 2016”, November 10, 2016
    Stanford Linear ACcelerator (SLAC), Stanford, USA
    Choosing the Appropriate EFT for Higgs Analyses

  • Talk at “Young Scientist Workshop”, June 8, 2016
    Castle Ringberg, Tegernsee, Germany
    Higgs Effective Field Theories

  • Theory Seminar at IFIC, May 19, 2016
    Instituto de Física Corpuscular, Valencia, Spain
    The electroweak chiral Lagrangian with a light Higgs — systematics & application

  • Talk at “Frühjahrstagung der Deutschen Physikalischen Gesellschaft (DPG)”, March 1, 2016
    University of Hamburg, Germany
    QFT Justification of the κ-framework using the electroweak chiral Lagrangian

  • Talk at “IMPRS Particle Physics”, December 11, 2015
    Max Planck Institute for Physics, Munich, Germany
    Fitting LHC Data using Effective Field Theories

  • Theory Seminar at UCSD, November 17, 2015
    University of California, San Diego, USA
    The electroweak chiral Lagrangian with a light Higgs — systematics & application

  • Theory Seminar at PI, November 13, 2015
    Perimeter Institute, Waterloo, Canada
    The electroweak chiral Lagrangian with a light Higgs — systematics & application

  • Theory Seminar at MITP, November 10, 2015
    University of Michigan, Ann Arbor, USA
    The electroweak chiral Lagrangian with a light Higgs — systematics & application

  • Talk at “Higgs Effective Field Theories (HEFT) 2015”, November 4-6, 2015
    University of Chicago, USA
    Justifying the κ-framework with the non-linear EFT

  • Talk at “Herbstschule für Hochenergiephysik”, September 8-18, 2015
    Maria Laach, Germany
    Die Nutzung effektiver Feldtheorien zur Charakterisierung des “Higgs”-Teilchens

  • Talk at “Frühjahrstagung der Deutschen Physikalischen Gesellschaft (DPG)”, March 9-13, 2015
    Wuppertal, Germany
    Higgs beyond the Standard Model - an EFT approach

  • Talk at “Strong Interactions in the LHC Era”, November 12-14, 2014
    Physikzentrum Bad Honnef, Germany
    Higgs beyond the Standard Model - an EFT approach

  • Talk at “New Physics Within and Beyond the Standard Model”, September 11, 2014
    Oberwölz, Austria
    Higgs beyond the Standard Model - an EFT approach

  • Talk at “Young Scientist Workshop”, July 17, 2014
    Castle Ringberg, Tegernsee, Germany
    Higgs beyond the Standard Model, an Effective Field Theory approach

  • Talk at “Frühjahrstagung der Deutschen Physikalischen Gesellschaft (DPG)”, March 24-28, 2014
    JGU Mainz, Germany
    Higgs beyond the Standard Model - an EFT approach

  • Talk at “Physics beyond the Higgs (Winter School)”, March 1-8, 2014
    Schladming, Austria
    Higgs beyond the Standard Model - an EFT approach

  • Talk at “Universe Cluster Science Day”, September 26, 2013
    Garching, Germany
    An effective field theory for electroweak symmetry breaking including a light Higgs