Positions Held

  • PI, Simons Collaboration on the Physics of Learning and Neural Computation
    September 2025 –
  • Institute Board Member & co-PI
    NSF AI Institute for Artificial Intelligence and Fundamental Interactions
    September 2020 –
  • Associate Professor
    Northeastern University
    2021 –
  • Assistant Professor
    Northeastern University
    2015 – 2021
  • Postdoctoral Fellow
    Kavli Institute for Theoretical Physics
    2012 – 2015

Education

  • Ph.D. Physics
    University of Pennsylvania, May 2012 — advised by Professor Mirjam Cvetic
  • B.S. Physics, Mathematics
    University of Virginia, May 2007 — with highest distinction

Awards & Honors

CAREER Grant
National Science Foundation
2019 – 2024
Graduate Fellowship in High Energy Theory
United States Department of Energy
2011 – 2012
Graduate Fellowship
String Vacuum Project (SVP) of the National Science Foundation
2009 – 2011
Chair's Teaching Award
University of Pennsylvania
2008

Publications

My papers can be found on Google Scholar, including journal information.

Editorial Boards

  • Machine Learning: Science and Technology, IOP Press, from 2019 — founding member.

Invited Conference Talks & Colloquia

  • 11th LITP Spring Symposium: Theoretical Physics and AI
    University of Michigan, May 2026
    TBD
    May 2026
  • Southwest Strings Meeting 2026
    Arizona State University, March 2026
    Declined due to family constraints
    March 2026
  • String Data 2025
    Cambridge University, December 2025
    QM, SUSY, and Outlook in NN-FT
    December 2025
  • Quantum100 ⊗ AI Workshop
    University of Munster, November 2025
    Declined due to family constraints
    November 2025
  • SCGP Colloquium
    Simons Center for Geometry and Physics, October 2025
    Is AI Like Hadron Physics?
    October 2025
  • IWR School on Machine Learning for Fundamental Physics
    Heidelberg University, September 2025
    Architecture is All You Need
    September 2025
  • IWR School on Machine Learning for Fundamental Physics
    Heidelberg University, September 2025
    NN=FT
    September 2025
  • The Geometry of Machine Learning
    Harvard CMSA, September 2025
    Sparsity and Symbols with Kolmogorov-Arnold Networks
    September 2025
  • AI + Physics Workshop
    City University of New York, September 2025
    Declined due to family constraints
    September 2025
  • ML4Jets 2025
    Caltech, August 2025
    Declined due to family constraints
    August 2025
  • AI and Physics Colloquium
    Uppsala University, April 2025
    Neural Networks and Field Theory
    April 2025
  • Physics of Learning Theory
    Johns Hopkins Bloomberg Center, April 2025
    Kolmogorov-Arnold Networks: in Theory and Practice
    April 2025
  • Theory + AI Workshop
    Perimeter Institute, April 2025
    Declined due to family constraints
    April 2025
  • Physics for AI Workshop
    Oxford University, March 2025
    Machine Learning for Field Theory
    March 2025
  • Physics for AI Workshop
    Oxford University, March 2025
    Field Theory for Machine Learning
    March 2025
  • No Stone Unturned 2025
    University of Utah, March 2025
    Declined due to family constraints
    March 2025
  • AI Winter School 2025
    Brown University, January 2025
    Small Panel Discussion, Large Winter School
    January 2025
  • Korea-CMS and Theory Joint Annual meeting
    Korea-CMS (KCMS) and Theory Joint Annual meeting, January 2025
    Declined due to family constraints
    January 2025
  • Strings 2025
    NYU Abu Dhabi, January 2025
    Field Theory and Neural Networks
    January 2025
  • Joint Mathematics Meeting: Geometry and Machine Learning
    Seattle, January 2025
    Declined due to family constraints
    January 2025
  • String Data 2024
    Yukawa Institute, Kyoto University, December 2024
    Conformality and Unitarity in NN-FT
    December 2024
  • ML4Jets 2024
    Paris, November 2024
    Declined due to family constraints
    November 2024
  • Generalized Volume Conjecture
    IIT Bombay, November 2024
    Searching for Ribbons with Machine Learning
    November 2024
  • Strings Online Lisbon Workshop
    University of Lisbon, October 2024
    Conformal Fields from Neural Networks
    October 2024
  • Mathematics and Machine Learning Closing Workshop
    Harvard CMSA, October 2024
    Learning the Topological Invariance of Knots
    October 2024
  • Physics in the AI Era
    University of Pisa, September 2024
    Declined due to family constraints
    September 2024
  • IAIFI Summer Workshop
    MIT, August 2024
    Neural Networks and Conformal Symmetry
    August 2024
  • International Congress of Basic Science
    Beijing, July 2024
    Declined due to family constraints
    July 2024
  • String Phenomenology 2024
    University of Padua, June 2024
    Inference, Towers, and Stasis
    June 2024
  • TASI Lectures on Physics for ML
    University of Colorado, Boulder, June 2024
    Physics4ML: Neural Network Dynamics
    June 2024
  • TASI Lectures on Physics for ML
    University of Colorado, Boulder, June 2024
    Physics4ML: Neural Network Statistics
    June 2024
  • TASI Lectures on Physics for ML
    University of Colorado, Boulder, June 2024
    Physics4ML: Neural Network Expressivity
    June 2024
  • Machine Learning and the Renormalization Group
    Trento, May 2024
    Phi4 Theory as a Neural Network Field Theory
    May 2024
  • New Trends in Mathematical Physics, AMS Eastern Sectional Meeting
    Howard University, April 2024
    Declined due to family constraints
    April 2024
  • Strings, Fields, and Deep Learning
    Aspen Center for Physics, January 2024
    Phi4 Theory as a Neural Network Field Theory
    January 2024
  • Physics Colloquium
    Caltech, December 2023
    Deep Learning for Theory: from Particle Physics to the Poincare Conjecture
    December 2023
  • Deconstructing the String Landscape
    CEA Paris Saclay, November 2023
    Machine Learning in the String Landscape
    November 2023
  • International Conference on Machine Learning Physics
    Kyoto University, November 2023
    Deep Learning for Theory: from Particle Physics to the Poincare Conjecture
    November 2023
  • Johannesburg Workshop on String Theory
    University of Witwatersrand, September 2023
    Declined due to family constraints
    September 2023
  • String Phenomenology 2023
    IBS-CTPU Daejeon, July 2023
    Declined due to family constraints
    July 2023
  • UNIST Workshop on Geometry, String Theory and Machine Learning
    Ulsan University, July 2023
    Phi4 Theory as a Neural Network Field Theory
    July 2023
  • Machine Learning for Lattice Field Theory and Beyond
    Trento, June 2023
    Declined due to family constraints
    June 2023
  • Theoretical Physics for Deep Learning
    Aspen Center for Physics, June 2023
    Declined due to family constraints
    June 2023
  • Canadian Mathematical Society Summer Meeting
    Ottawa, June 2023
    Searching for Ribbons with Machine Learning
    June 2023
  • At the Interface of Physics, Math, and AI
    Pollica, May 2023
    Declined due to family constraints
    May 2023
  • Physics Colloquium
    University of Crete, May 2023
    Machine Learning for Theoretical Physics and Math
    May 2023
  • Physics Colloquium
    University of Crete, May 2023
    Machine Learning for Theoretical Physics and Math
    May 2023
  • Colloquium at Center of Mathematical Sciences and Applications
    Harvard University, April 2023
    Unexpected Uses of Neural Networks: Field Theory and Metric Flows
    April 2023
  • Theoretical Tests of the Landscape
    University of Massachusetts, Amherst, April 2023
    Discussion on the Landscape from the Top Down
    April 2023
  • Strings and Geometry 2023
    University of Pennsylvania, March 2023
    Metric Flows and Calabi-Yau Metrics with Infinite-Width Neural Networks
    March 2023
  • Theoretical Physics for Machine Learning
    Aspen Center for Physics, March 2023
    Declined due to family constraints
    March 2023
  • String Data 2022
    Cambridge University, December 2022
    Neural Network Metric Flows
    December 2022
  • Heidelberg Math and ML Series
    Heidelberg University, November 2022
    ML for Pure Mathematics
    November 2022
  • Computational Differential Geometry and Its Applications in Physics
    Simons Center for Geometry and Physics, November 2022
    Ricci Flow and Neural Network Gradient Descent
    November 2022
  • Knot Theory Meets Computer Science
    Dublin Institute for Advanced Study, November 2022
    Ricci Flow and Neural Network Gradient Descent
    November 2022
  • Physics and Machine Learning
    Nature Reviews Physics and Alan Turing Institute, October 2022
    Machine Learning and Theoretical Physics
    October 2022
  • Lecture Series: Physics Meets Artificial Intelligence
    School at LMU Munich, September 2022
    Declined due to family constraints
    September 2022
  • Seattle Snowmass Summer Meeting 2022
    University of Washington, July 2022
    Declined due to family constraints
    July 2022
  • String Phenomenology 2022
    University of Liverpool, July 2022
    Ricci Flow with Infinite Neural Networks
    July 2022
  • Foundations of Machine Learning and its Applications for Scientific Discovery in Physical and Biological Systems Workshop
    DC Metro Area, June 2022
    Declined due to family constraints
    June 2022
  • Lecture Series: Pre-SUSY 2022
    University of Ioannina, June 2022
    Machine Learning for High Energy Theory
    June 2022
  • Lecture Series: Pre-SUSY 2022
    University of Ioannina, June 2022
    Machine Learning for High Energy Theory
    June 2022
  • Workshop on Machine Learning and Mathematical Conjecture
    Harvard University, CMSA, April 2022
    Machine Learning for Mathematics
    April 2022
  • Physics Colloquium
    University of Winnipeg
    A Triangle of Influence: Physics, Pure Mathematics, and Computer Science
    Oct 2021
  • SUSY 2021
    Institute of Theoretical Physics, Chinese Academy of Sciences
    The String Landscape and Particle Remnants
    Aug 2021
  • Nankai Symposium on Mathematical Dialogues
    The Chern Institute, Nankai University
    Statistics and Symmetries of Neural Networks and Quantum Fields
    Aug 2021
  • Machine Learning: Where to Apply in Theoretical Physics
    Bethe Forum, University of Bonn
    Recent Results at the Intersection of ML and Theoretical Physics
    Jun 2021
  • PHENO 2021
    University of Pittsburgh
    Deep Learning Landscapes
    May 2021
  • Beijing Geometry and Physics Seminar (3 lectures)
    Yau Mathematical Science Center, Tsinghua University
    Complexity, Physics, and Effective Theories of Deep Learning
    May 2021
  • IAIFI Colloquium
    NSF AI Institute for AI and Fundamental Interactions
    ML for Ab Initio Data: A Tour of Knots and Natural Language
    Apr 2021
  • Accelerate Science Winter School 2021
    Cambridge University
    A Triangle of Influence: Physics, Pure Mathematics, and Computer Science
    Feb 2021
  • Workshop on Algebraic Geometry and Machine Learning
    Tsinghua Sanya International Mathematics Forum
    Knots and Natural Language
    Jan 2021
  • String Data 2020
    CERN
    NN-QFT Correspondence
    Dec 2020
  • APS April Meeting 2020
    Washington DC
    String Theory and Deep Learning
    Apr 2020
  • The String Swampland and Quantum Gravity
    Kavli Institute for Theoretical Physics
    Lessons and Challenges in the Landscape
    Mar 2020
  • Deep Learning and Physics 2019
    Yukawa Institute for Theoretical Physics
    Generative Models and Statistical Predictions in String Theory
    Oct 2019
  • Lectures on ML and String Theory (3 lectures)
    Osaka University
    Machine Learning, the String Landscape, and Computational Complexity
    Oct 2019
  • Geometry and Strings 2019
    Oxford University
    F-theory on Singular Spaces
    Sep 2019
  • Hammers and Nails 2019
    Weizmann Institute of Science
    Applications of Machine Learning to String Theory
    Aug 2019
  • SIAM Conference on Applied Algebraic Geometry
    University of Bern
    Knot Theory and Machine Learning
    Jul 2019
  • String Phenomenology 2019
    CERN
    Complexity and Random Matrix Approximations
    Jun 2019
  • Simons Collaboration on Special Holonomy
    KITP
    Cosmological Questions for G2 Compactifications at Large N
    Apr 2019
  • At the Crossroads of Machine Learning and Physics
    KITP
    Machine Learning Geometry and String Theory
    Feb 2019
  • Machine Learning Landscape
    ICTP Trieste
    Complexity of Machine Learning and Landscapes
    Dec 2018
  • Simons Summer Workshop
    Simons Center for Geometry and Physics
    de Sitter Vacua and Computational Complexity
    Aug 2018
  • Machine Learning and Physics
    Tsinghua University
    Reinforcement Learning and the String Landscape
    Jul 2018
  • String Phenomenology 2018
    Warsaw
    String Theory and Data Science
    Jul 2018
  • Strings 2018
    Okinawa
    String Theory and Data Science
    Jun 2018
  • Machine Learning in Geometry and Physics
    Yau Mathematical Science Center, TSIMF Sanya
    Finding Small Cosmological Constants with Deep Reinforcement Learning
    Jun 2018
  • Strings, Geometry, and Black Holes
    King's College London
    Deep RL and the Boundary of Weak Coupling
    Apr 2018
  • Workshop on Data Science and String Theory (2 talks)
    LMU Munich
    Machine Learning Tools for String Theory & Anomaly Detection
    Mar 2018
  • Physics and Geometry of F-theory
    IFT-Madrid
    A Large Ensemble of F-theory Geometries
    Mar 2018
  • Workshop on String Field Theory and String Phenomenology
    Harish-Chandra Research Institute
    Big Data and the Landscape: A Case Study in F-theory
    Feb 2018
  • String Phenomenology 2017
    Virginia Tech
    Universality in a Large Ensemble of Geometries
    Jul 2017
  • TASI (2 lectures)
    University of Colorado, Boulder
    String Remnants
    Jun 2017
  • Interconnection between Particle Physics and Cosmology
    Texas A&M, Corpus Christi
    GUTs, Remnants, and the String Landscape
    May 2017
  • Superconformal Field Theories in 4+ Dimensions
    Aspen Center for Physics
    Dualities of Deformed N=2 SCFTs from Link Monodromy
    Mar 2017
  • Physics and Geometry of F-theory 2017
    ICTP Trieste
    Dualities from Braids and Landscapes from Trees
    Feb 2017
  • The Mathematics and Physics of F-theory
    Virginia Tech
    Dualities of Deformed N=2 SCFTs from Link Monodromy
    Oct 2016
  • Simons Collaboration on Special Holonomy (2 talks)
    Simons Center for Geometry and Physics
    Gauge Enhancement in M-theory on G2 and Calabi-Yau Spaces
    Sep 2016
  • Geometry and Topology of Particle Physics
    The Fields Institute, Toronto
    D3-brane SCFTs from N=2 Deformations
    Aug 2016
  • The Amsterdam String Workshop
    University of Amsterdam
    Non-Higgsable Clusters and Symmetry in the Landscape
    Jul 2016
  • Special Holonomy Geometry, Mirror, and Supersymmetry
    Harvard University
    Gauge Enhancement and Landscapes in G2 Compactifications
    May 2016
  • F-theory at 20
    Walter Burke Institute, Caltech
    Strong Coupling and Geometrically Non-Higgsable Seven-Branes
    Feb 2016
  • String-Pheno-Cosmo 2015
    Galileo Galilei Institute
    The Complex Structure of the F-theory Landscape
    Oct 2015
  • String Phenomenology 2015
    University of Madrid
    Gauge Enhancement and Landscapes in G2 Compactifications
    Jun 2015
  • Stratified Spaces in Topology and Physics
    University of Wisconsin, Madison
    Kodaira's Alternative to Grand Unification
    Apr 2015
  • String/M-Theory Compactifications and Moduli Stabilization
    University of Michigan
    Symmetry in the Landscape: Non-Higgsable Clusters and the Standard Model
    Mar 2015
  • Physics and Geometry of F-theory
    MPI Munich
    Symmetry in the Strongly Coupled Landscape
    Feb 2015
  • Physics Colloquium
    Northeastern University
    Formal Theory and its Applications to the Standard Model and Beyond
    Feb 2015
  • Physics Colloquium
    Baylor University
    Setting Sail in the String Landscape
    Jan 2015
  • Hidden Sector Dark Matter
    Michigan Center for Theoretical Physics
    Hidden and Visible Sectors from Non-Higgsable Clusters
    Nov 2014
  • Model Building in the LHC Era
    Aspen Center for Physics
    Theoretically Motivated Electroweak Exotics in String Theory
    Jul 2014
  • Geometry and Physics of F-theory
    Heidelberg University
    Non-Abelian Gauge Symmetry and the Higgs Mechanism in F-theory
    Feb 2014
  • APS Divisional Meeting
    UC Santa Cruz
    New Motivation for WIMP Dark Matter
    Aug 2013
  • Simons Summer Workshop
    Simons Center for Geometry and Physics
    Matter in F-theory from Singular Elliptic Fibrations
    Jul 2013
  • String Phenomenology 2011
    University of Wisconsin, Madison
    Instantons in F-theory from Heterotic Duality
    Aug 2011

Workshop & Conference Organization

  • Generative AI for High and Low Energy Physics
    Kavli Institute for Theoretical Physics — organizing committee
    2025
  • String Phenomenology 2025
    Northeastern University — organizing committee
    2025
  • A Day of Deep Learning and High Energy Theory
    IAIFI @ Northeastern University — chair
    2024
  • Strings, Fields, and Deep Learning
    Aspen Center for Physics — organizing committee
    2024
  • String Data 2023
    Caltech — organizing committee
    2023
  • IAIFI Workshop & Summer School
    IAIFI — chair
    2022 – 2023
  • Machine Learning: Where to Apply in Theoretical Physics
    Bethe Forum, University of Bonn — organizing committee
    2022
  • A Deep-Learning Era of Particle Theory
    Mainz Institute for Theoretical Physics — organizing committee
    2022
  • String Phenomenology 2020 & 2021
    Northeastern University — organizing committee
    2020 – 2021
  • Neural Networks and the Data Science Revolution
    Simons Center for Geometry and Physics — organizing committee
    2020
  • Strings, Geometry, and Data Science
    Simons Center for Geometry and Physics — organizing committee
    2020
  • String Theory and the Hidden Universe
    Aspen Center for Physics — organizing committee
    2019
  • Modern Trends in Particle Physics (Pran Nath conference)
    Northeastern University — organizing committee
    2019
  • Physics ∩ ML
    Microsoft Research — organizing committee
    2019
  • Workshop on Data Science and String Theory
    Northeastern University — organizing committee
    2017

Technical Seminars

  • March 2026 — Boston University
  • February 2026 — Fermilab
  • Oct 2025 — Simons Center for Geometry and Physics
  • Jul 2025 — First Principles
  • May 2025 — Uppsala University
  • Mar 2025 — Virginia Tech
  • Sep 2024 — Physics of Learning Collaboration
  • Jun 2024 — Cambridge Consultants
  • May 2024 — Stanford Linear Accelerator (SLAC)
  • Apr 2024 — Queen Mary University of London
  • Nov 2021 — University of Chicago
  • Sep 2021 — Harvard University
  • Jun 2021 — University of Heidelberg
  • May 2021 — Cambridge University, ML group
  • Apr 2021 — EPFL
  • Feb 2021 — BNL / RIKEN
  • Jan 2021 — Deep Learning and Physics, Japan
  • Jan 2021 — Mathematics, Physics, and ML, Lisbon
  • Dec 2020 — DeepMind
  • Nov 2020 — Rutgers University
  • Nov 2020 — University of British Columbia
  • Nov 2020 — Virginia Tech
  • Oct 2020 — LMU Munich
  • Oct 2020 — Brown University
  • Oct 2020 — University of Michigan
  • Sep 2020 — Queen Mary University of London
  • Sep 2020 — Carnegie Mellon University
  • May 2020 — University of Liverpool
  • Nov 2019 — Princeton Center for Theoretical Sciences
  • Oct 2019 — Boston Fusion Corporation
  • Dec 2018 — University of New Hampshire
  • Oct 2018 — Syracuse University
  • Oct 2018 — University of Michigan
  • Oct 2018 — UC Irvine
  • Oct 2018 — University of Illinois
  • Sep 2018 — Boston University
  • May 2018 — Stanford Linear Accelerator (SLAC)
  • Mar 2018 — University of Oxford
  • Oct 2016 — Virginia Tech
  • Apr 2016 — Northeastern University, Mathematics
  • Feb 2016 — Yale University
  • Dec 2015 — Northeastern University, Mathematics
  • Dec 2015 — Texas A&M
  • Sep 2015 — MIT
  • Apr 2015 — University of Wisconsin, Madison
  • Jan 2015 — UC Santa Barbara
  • Dec 2014 — Caltech
  • Sep 2014 — Cornell University
  • May 2014 — Harvard University
  • Apr 2014 — McGill University
  • Apr 2014 — MIT
  • Apr 2014 — Brandeis University
  • Nov 2013 — University of Pennsylvania
  • Nov 2013 — University of Southern California
  • Oct 2013 — UC Santa Barbara Math/Physics
  • Mar 2013 — University of Michigan
  • Nov 2012 — University of Southern California
  • Oct 2012 — Kavli Institute for Theoretical Physics
  • Mar 2012 — Cornell University
  • Dec 2011 — University of Chicago
  • Dec 2011 — Kavli Institute for Theoretical Physics
  • Nov 2011 — Princeton University
  • Nov 2011 — University of Wisconsin, Madison
  • Apr 2011 — University of Chicago
  • Feb 2011 — MIT

Service, Outreach & Miscellaneous

  • Referee: Canadian Journal of Physics, JHEP, MLST, Physics Letters B, Physics Reports, Physical Review Letters, Nature Reviews Physics, and Reviews of Modern Physics.
  • Colloquium Chair: previously, at Northeastern University.
  • Seminar Organizer: UC Santa Barbara HEP Theory group and the KITP locals lunch.
  • Substitute Lecturer: Quantum Field Theory, E&M, General Relativity, and “Physics for Poets.”
  • Youth Outreach: lectures at Santa Barbara area high schools as part of KITP’s outreach efforts.
  • Computer Skills: C, Java, Python, HTML, CSS, and Sage.

References

  • Professor Mirjam Cvetic — University of Pennsylvania
  • Professor Antonella Grassi — University of Pennsylvania
  • Professor David R. Morrison — UC Santa Barbara
  • Professor Paul Langacker — Institute for Advanced Study
  • Professor Washington Taylor — Massachusetts Institute of Technology