Here is a collection of talks I have given (click on the year to expand). If you are interested in the slides or recording and can't find them on the respective conference/university/workshop webpage (stringwiki has a good overview of workshops/conferences and their web pages), please email me. I have collected some recordings of my talks on my YouTube Channel.
ML-Driven Discovery Retreat, MIT, USA
Rigorous and Interpretable Results from Machine Learning
High Energy and Gravity Seminar, UC Sant Barbara, USA
Rigorous results from machine learning
Theory Seminar, UC Irvine, USA
Shaping Physics from Geometry: Moduli and Their Role in String Theory
Pollica Workshop on Calabi-Yau Manifolds, Pollica, Italy
Backreaction of Fluxes on Calabi-Yau Metrics
AMS Sectional Meeting, UCONN, USA
Interpretable Machine Learning for Kronecker Coefficients
String Theory Seminar, Utrecht, USA
Kolmogorov-Arnold Networks
Joint Mathematics Meeting 2025, Seattle, USA
Impact of machine learning on the experience of a researcher
High Energy and Gravity Seminar, UCSB, USA
Rigorous results from machine learning
Mini Workshop on AI and low-dimensional topology, Caltech, USA
KANs for scientific discovery
String Data, Kyoto, Japan
Learning Knot Invariance
AI for QFT, Queen Mary London, UK
Kolmogorov-Arnold Networks
The Generalized Volume Conjecture, Bombay, India
Learning Knot Invariance
CMSA Mathematical Physics and Algebraic Geometry Seminar, Harvard, USA
Bounds and Dualities of Type II Little String Theories
Northeastern Math Club, Northeastern, USA
Playing a Game of Knot Theory
CMSA Mathematics and Machine Learning Workshop, Harvard, USA
Rigorous results from ML using RL
Strings and Geometry 2024, University of Hamburg, Germany
Exploring the space of 6D Little String Theories
Special Colloquium, UNIST Ulsan, South Korea
Kolmogorov-Arnold Networks
AGK Seminar, TU Dresden, Germany
Machine Learning for Knot Theory
MPI Colloquium, MPI Dresden, Germany
Machine Learning for Scientific Discovery
LIV.INNO Data Science Seminar, Liverpool, UK
Rigorous results from Machine Learning
AMS Sectional Meeting, UW Milwaukee, USA
Reinforcement learning for problems in knot theory
Surveying the Landscape, UMASS Amherst, USA
The quantum gravity landscape viewed from the top down
Northeastern Topology Seminar, Northeastern University, USA
Machine learning for problems in knot theory
Brandeis Theory Seminar, Brandeis University, USA
Degenerate string spectrum and black hole attractors
Theoretical Physics Seminar, UMASS Amherst, USA
Rigorous results from Machine Learning for Theoretical Physics
Aspen Winter Conference, Aspen, USA
Metric Flows
String Theory Seminar, Virginia Tech, USA
Metric Flows
string_data 2023, Caltech, USA
Metric Flows
Deconstructing the String Landscape, Paris, France
Perspectives on Particle Physics
13th Joburg Workshop on String Theory, Witwatersrand University, South Africa
Massive string towers, level crossing, and black hole attractors
Machine Learning in Mathematics & Theoretical Physics, Oxford, UK
One lecture on "Introduction to ML", two lectures on "ML and Knot theory"
String Phenomenology 2023, Daejeon, South Korea
Massive string towers, level crossing, and black hole attractors
String Theory, Geometry and Machine Learning, UNIST Ulsan, South Korea