Yani Pehova

About me

I am currently a Senior Data Scientist working in BioTech at PrecisionLife Ltd.

Until 2024 I was an EPSRC Postdoctoral Research Fellow at the London School of Economics. My project was called "Substructures in large graphs and hypergraphs".

Previously, I was a researcher at SW7 Group in London, working on problems from machine learning, statistics, and optimisation applied to tech and finance.

Before that, I obtained my PhD from the University of Warwick under the supervision of Prof Daniel Král'.

Before that, I did Parts I-III of the Mathematical Tripos at Murray Edwards College, University of Cambridge.

You can find a copy of my CV here.

Research

I am interested in making sense of large-scale biomedical data and extracting robust, ideally causal, insights from it. Before joining the world of BioTech, I worked as an academic specialising in extremal combinatorics, where I looked at ways to decompose the edge set of a given graph into small or sparse subgraphs, limits of combinatorial objects and their applications to extremal problems, and graph tilings in various settings.

Organised events

I co-organised the London Colloquia in Combinatorics, which took place on 8 May 2024 at UCL and 9 May 2023 at LSE. I was involved in organising the previous edition as well.

I co-organised the LSE Workshop in Extremal and Probabilistic Combinatorics, which took place 12-16 Dec 2022 at LSE.

I co-organised Young Researchers in Combinatorics which took place in July 2022 at ICMS, University of Edinburgh.

Publications

Y. Pehova, S. Appella, D. Kolobkov, A. Malinowski, M. Pawlowski, M. Strivens, J. Sardell, S. Gardner. Proteomics reveal clusters of hypertension cases associated with differing prevalence of cardiovascular and renal complications. https://doi.org/10.64898/2026.03.03.26347534

F. Di Braccio, J. Lada, V. Patel, Y. Pehova, J. Skokan. Hamilton decompositions of regular tripartite tournaments. J. London Math. Soc. (to appear) arXiv:2507.12460

P. Gupta, Y. Pehova, E. Powierski, K. Staden. A framework for the generalised Erdős-Rothschild problem and a resolution of the dichromatic triangle case. Forum Math. Sigma (to appear) arXiv:2502.12291

C. Bowtell, P. Morris, Y. Pehova, K. Staden. Universality for transversal Hamilton cycles. Bull. London Math. Soc., 57 (2025): 711-729. arXiv:2310.04138

Y. Pehova, K. Petrova. Minimum vertex degree conditions for loose spanning trees in 3-graphs. J. Comb. Theory, Ser. B 168 (2024): 47-67. arXiv:2301.09630

R. Montgomery, A. Muyesser, Y. Pehova. Transversal factors and spanning trees. Adv. Comb. (2022) arXiv:2107.04629

T.F.N. Chan, D. Kráľ, J. Noel, Y. Pehova, M. Sharifzadeh, J. Volec. Characterization of quasirandom permutations by a pattern sum. Random Structures Algorithms 57 (2020), no. 4, 920–939. arXiv:1909.11027

A. Liebenau, Y. Pehova. An approximate version of Jackson's conjecture. Combin. Probab. Comput. 29 (2020), no. 6, pp. 886–899. arXiv:1907.08479

A. Blumenthal, B. Lidický, Y. Pehova, F. Pfender, O. Pikhurko, J. Volec. Sharp bounds for decomposing graphs into edges and triangles. Combin. Probab. Comput. 30 (2020), no. 2, pp. 271–287. arXiv:1909.11371

R. Nenadov, Y. Pehova. On a Ramsey-Turán variant of the Hajnal-Szemerédi theorem. SIAM J. Discrete Math. 34 (2020), no. 2, pp. 1001–1010. arXiv:1806.03530

D. Kráľ, B. Lidický, T. Martins, Y. Pehova. Decomposing graphs into edges and triangles. Combin. Probab. Comput. 28 (2019), no. 3, pp. 465-472. arXiv:1710.08486

How to reach me

My email address is yani.pehova@gmail.com

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