Tejas Iyer

Postdoctoral Fellow, Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin

I am a mathematician working in probability theory. This involves the rigorous analysis of random systems arising in diverse contexts, including learning algorithms, complex networks and the structure of biological populations. A key aspect of my research is understanding tipping points in such systems, where a small change in parameters leads to dramatic large-scale consequences.

Please consult my research page for more details (including simulations!).

I am a member of the Interacting Random Systems group at WIAS, within the DFG priority programme SPP 2265 Random Geometric Systems, and I lecture at TU Berlin. I completed my PhD at the University of Birmingham in 2021, supervised by Nikolaos Fountoulakis and co-supervised by Richard Mycroft. Before that, I graduated from the Bachelor of Philosophy (Science) program at the Australian National University with First Class Honours in Mathematics, supervised by Brendan McKay and co-supervised by Kim Morrison.

Google Scholar ORCID WIAS staff page CV (PDF)

News

• Nov 2026. I am co-organising the workshop Stochastic Processes with Reinforcement with Elena Magnanini at WIAS Berlin, 3–6 November 2026.
• Winter 2026/27. New course at TU Berlin: Advanced Probabilistic Methods Related to Reinforcement Learning. Lecture notes go online after each lecture, with interactive simulations: Lecture 1 has a slot machine to play.

Contact

Email: first.lastname@wias-berlin.de

Office 413, WIAS, Anton-Wilhelm-Amo-Straße 39, 10117 Berlin, Germany