Currently at ICCB Cologne

Katyayni
Ganesan

Somewhere between a computational biologist, a bioinformatician, and a perpetual student.

Research →
A little bit about me

I studied molecular biology but switched over to a completely computational PhD, so now I don't know what job title I deserve, but I am a scientist at the least (?). Now I am haunted by Markov Chains and GNNs instead of my cells dying over the weekend.

This is a webpage 6 years in the making, so congrats to me that I finally stopped procrastinating.

Helping out at mathematical-oncology.org, an (amazing) blog and newsletter you should follow.

© 2026 Katyayni Ganesan
GitHub LinkedIn ORCID

Research

Research interests
  • the confluence of evolution, cancer and computer science
  • always thinking of ways to make data understandable but aesthetically pleasing
  • tools rigorous enough to trust but simple enough that somebody actually uses them
Publications

2025

PhytClust: Efficient and Optimal Monophyletic Partitioning of Rooted Phylogenetic Trees

Ganesan K, Billard E, Kaufmann TL, Strange CB, Cwikla MC, Altenhoff AM, Dessimoz C, Schwarz RF

bioRxiv (preprint)

2026

75 Years of Mathematical Oncology

Pradelli F, Strobl M, Marzban S, de Kermenguy F, Barnett A, Ganesan K, Lorenzo G, Hormuth DA 2nd, Hamis S, Bhaskar D, Anderson ARA, West J

bioRxiv (preprint)

2025

A genetic signature predicts aggressive paraganglioma sensitivity to dual PI3K–CDK4/6 inhibition therapy

Karna B, Gentile F, Gulde S, De Martino D, Maurer J, Ganesan K, Wang K, Bechmann N, Rapizzi E, Robledo M, Arroba E, Herzig S, Nölting S, Mohr H, Pellegata NS

bioRxiv (preprint)

© 2026 Katyayni Ganesan
GitHub LinkedIn ORCID

Writing

© 2026 Katyayni Ganesan
GitHub LinkedIn ORCID

Projects

PhytClust tool

Tree-aware clustering for rooted phylogenies. Partitions taxa into monophyletic clusters via dynamic programming on the tree.

GitHub ↗
© 2026 Katyayni Ganesan
GitHub LinkedIn ORCID