SAMUEL G. G. JOHNSTON
Mathematician
CV SUMMARY
Employment
2022 - present: Lecturer in Probability Theory, King's College London
2020 - 2022: Postdoc, University of Bath
2019 - 2020: Postdoc, University of Graz
2017 - 2019: Postdoc, University College Dublin
Education
2014 - 2017: PhD in Probability, University of Bath
2010 - 2014: MMath, University of Oxford
RESEARCH INTERESTS
I have broad research interests in probability and related areas, including stochastic processes, free probability, random matrices, statistical physics, integrable combinatorics, asymptotic geometric analysis, and in combinatorial approaches to the Jacobian conjecture.
PUBLICATIONS
PREPRINTS
O. Arizmendi and S.G.G. Johnston (2023). Free probability via entropic optimal transport.
S.G.G. Johnston (2023). A fast Berry-Esseen theorem under minimal density assumptions.
(submitted) arXiv
Bisi, P. Dyszewski, N. Gantert, S.G.G. Johnston, J. Prochno and D. Schmid (2023). Random planar trees and the Jacobian conjecture.
(submitted) arXiv
S.G.G. Johnston (2022). Continuous Kasteleyn theory for the bead model.
(submitted) arXiv
ACCEPTED PUBLICATIONS
S.C. Harris, S.G.G. Johnston and J.C. Pardo (2023). Universality classes for the coalescent structure of heavy-tailed Galton-Watson trees.
To appear in Ann. Probab., arXiv
D. Cheek and S.G.G. Johnston (2023). Ancestral reproductive bias in branching processes.
To appear in J. Math. Biol., arXiv
S.G.G. Johnston and A. Lambert (2023). The coalescent structure of uniform and Poisson samples from branching processes.
To appear in Ann. Appl. Probab., arXiv
S.G.G. Johnston, A. E. Kyprianou and T. Rogers (2022). Multitype Lambda-coalescents.
To appear in Ann. Appl. Probab., arXiv
S.G.G. Johnston (2022). A degree bound for strongly nilpotent polynomial automorphisms.
To appear in J. Algebra, arXiv
P. Dyszewski, N. Gantert, S.G.G. Johnston, J. Prochno and D. Schmid (2022). Sharp concentration for the largest and smallest fragment in a k-regular self-similar fragmentation.
To appear in Ann. Probab., arXiv
11. S.G.G. Johnston and J. Prochno (2022). Faà di Bruno's formula and inversion of power series.
To appear in Adv. Math., arXiv
12. J. Heiny, S.G.G. Johnston and J. Prochno (2022). Thin shell theory for rotationally invariant random simplices.
To appear in Electron J. Probab., arXiv
13. S.G.G. Johnston and J. Prochno (2022). A Maxwell principle for generalized Orlicz balls.
To appear in AIHP, arXiv
14. S.G.G. Johnston, Z. Kabluchko and J. Prochno (2022). Projections of the uniform distribution on the unit cube - a large deviations perspective.
To appear in Studia. Math., arXiv
15. S.G.G. Johnston and J. Prochno (2022). Berry-Esseen bounds for random projections of Lp-Balls.
Published in Studia. Math., arXiv
16. S.G.G. Johnston and N. O'Connell (2020). Scaling limits for non-intersecting polymers and Whittaker measures.
Published in J. Stat. Phys., arXiv
17. S.C. Harris, S.G.G. Johnston and M.I. Roberts (2020). The coalescent structure of continuous-time Galton-Watson trees.
Published in Ann. Appl. Probab., arXiv
18. S.G.G. Johnston (2019). The genealogy of Galton-Watson trees.
Published in Electron. J. Probab.,arXiv
OTHER WORK/NOTES:
19. S.G.G. Johnston (2022). Beads on the torus via scaling limits of dimer matchings.
INVITED TALKS
2024
(June 2023): Durham University, United Kingdom. Probability in the North East workshop.
May 2023: University of Warwick, United Kingdom. Applied Probability seminar.
April 2023: University of Warwick, United Kingdom. Conference in Models and Inference in Population Genetics.
April 2023: Edinburgh University, United Kingdom. Probability seminar.
Feb 2023: Queen Mary University of London, United Kingdom. Probability and Applications seminar.
2023
Nov 2023: Warsaw University of Technology, Poland. Probability seminar. (Online.)
Oct 2023: UCLA, USA. Functional Analysis seminar. (Online.)
Oct 2023: Bedlewo, Poland. Discrete Random Structures conference.
Sept 2023: University of Bielefeld, Germany. Ancestral Lines in genetic models workshop.
Sept 2023: University of Graz, Austria. Probabilistic Methods in Convexity.
July 2023: University of Lisbon, Portugal. Stochastic Processes and Applications
May 2023: University of Cambridge, United Kingdom. Probability Seminar.
Mar 2023: ICMS Sofia, Bulgaria. Recent Developments in Stochastic Processes.
Mar 2023: Algebraic and combinatorial perspectives in the mathematical sciences. (Online.)
Feb 2023: University of Warwick, United Kingdom. Statistical Mechanics seminar.
Feb 2023: University of Sussex, United Kingdom. Mathematics and Applications seminar.
Jan 2023: CIMAT, Mexico. BUC Probability Meeting.
2022
Oct 2022: UCL, United Kingdom. Probability seminar.
Sep 2022: Wrocław University, Poland. Probability and Analysis.
Aug 2022: CIMAT, Mexico. Probability seminar.
Jun 2022: UCL, United Kingdom. Conference in point configurations and rigidity.
May 2022: UNAM, Mexico. Seminario de Probabilidad para Estudiantes de Posgrado. (Online.)
Mar 2022: University of Bath, United Kingdom. Algebra and number theory seminar.
2021
May 2021: University of Bath, United Kingdom. Probability Seminar. (Online.)
2020
Aug 2020: IMS-Bernoulli one world symposium. (Online.)
Jun 2020: Online open probability school. (Online.)
2019
Dec 2019: Bochum University, Germany. Probability Seminar.
Oct 2019: University of Graz, Austria. Algorithms and complexity in high dimensions.
2018
June 2018: Collège de France, France. Probability seminar.
Apr 2018: University of Sheffield, United Kingdom. The UK Easter probability meeting
Feb 2018: University College Dublin, Ireland. Reading group.
Jan 2018: University College Dublin, Ireland. Probability seminar.
2017
May 2017: Beijing Normal University, China. Workshop on branching and related topics
Mar 2017: University of Bath, United Kingdom. Prob-L@B seminar
CONTACT
Department of Mathematics, Faculty of Natural, Mathematical & Engineering Sciences, Strand Building, King's College London,
London, WC2R 2LS, United Kingdom.
sgg(surname)atgmail.com