People

Aden Power

Leads AI Alignment Introduction, Alignment in Practice and Agent Foundations; Australian National University; Iliad fellow (earlier cohort)

Ashe Vazquez Nuñez

Leads Agent Foundations

David Quarel

Leads Solomonoff Induction and AIXI; Australian National University

Fernando Rosas

Leads World Models, Decision Theory to RL; University of Sussex

Guillaume Corlouer

Leads Training Dynamics; Moirai

Julian Schulz

Leads ML Engineering, Mechanistic Interpretability; Meridian Research

Kai Ogden

Leads Singular Learning Theory; University of Oxford

Louis Jaburi

Leads Data Attribution; EleutherAI

Satya Benson

Leads Abstractions and Latents; Williams College

Stephan Wäldchen

Leads Debate, Steganography and Backdoors; Iliad staff

Tudor Dimofte

Leads Physics for Deep Learning; Iliad fellow (earlier cohort)

Xavier Poncini

Leads Computational Mechanics; Simplex

Adam Newgas

Seconds ML Engineering; Timaeus

Guillermo Sanmarco

Seconds Computational Mechanics; University of Washington; Fall 2026 Iliad fellow

Margot Stakenborg

Seconds Physics for Deep Learning, World Models; Iliad fellow (earlier cohort)

Matthew Farrugia-Roberts

Seconds Singular Learning Theory; University of Oxford

Simon Elias Schrader

Seconds Debate; University of Oslo; Fall 2026 Iliad fellow

Yangda Bei

Seconds Training Dynamics; Iliad fellow (earlier cohort)

Zach Furman

Seconds Launch Day + proposal round 2; The University of Melbourne

Adam Yanis Chaou

Adithya Shenoy

Hi, I’m Adithya. I finished a master’s in Mathematics in 2024, specialising in probability theory and abstract algebra.

Akshay Yelleshpur Srikant

I'm a theoretical physicist. I just completed a postdoc at Oxford.

Alba Málaga Sabogal

Alexey Kravatskiy

Andre Oliveira Pinheiro

I’m a theoretical physicist who recently completed a PhD at the intersection of gravity, hydrodynamics and higher-form symmetries. More broadly, I’m interested in using methods from high-energy physics to study problems in condensed matter.

Angelina Vargulevich

Aurelio Carlucci

I am an algebraic geometer by training, working in enumerative geometry, quiver representations, and moduli spaces. In 2026 I switched to AI safety, beginning with TAIG (loss of control modelling, compute governance), followed by a Dovetail Research fellowship (transducers and world models).

Benjamin Haake

I finished my PhD in mathematical physics a month ago, which was on generalised symmetries and their gauging. Mathematically, this involves higher category theory, higher algebra, and some topology.

Cheryne Jonay

Fall 2026 Iliad fellow

hey, I'm Cheryne. By training I study dynamics and emergent phenomena in interacting many-body systems.

Christian Copetti

London; postdoc, Mathematical Institute, University of Oxford; Fall 2026 Iliad fellow

I am a theoretical physicist at Oxford working on various aspects of Quantum Field Theory and the description of symmetries in quantum systems. I have recently been interested in understanding whether symmetry considerations can teach us something about how AI models learn and generalize.

Christine Zhang

Hi! I’m Christine, studied math and physics in my undergrad (with a focus in quantum information theory) and just wrapped up a year in the industry as a quant researcher (agents played such a big role in my daily workflow I thought it made sense to study how things work under the hood!).

Clement Cosserat

Hi, I am Clément (I go simply by Clem on Discord). I am finishing my PhD in non-smooth optimization in November and would like to shift my research toward technical alignment after this.

Daniel Belkin

I’m a PhD student at the University of Illinois working in computational quantum information. My current research is mostly about numerical methods for random circuits.

Daniel Chernowitz

Fall 2026 Iliad fellow

Darrick Lee

Fall 2026 Iliad fellow

I’m a tenure track mathematician at the University of Edinburgh. My research is primarily in developing mathematical tools to study functional data; the main areas I work in are applied geometry/topology and signature methods.

David Martin

Fall 2026 Iliad fellow

David Prinz

University of Bonn; Fall 2026 Iliad fellow

Dhruva Kelkar

Fall 2026 Iliad fellow

Fabio Spagliardi

My background is in experimental particle physics. I did a PhD on liquid argon detectors for neutrinos at the University of Oxford, and worked at CERN and Fermilab.

Francis J Headley

PhD in Quantum Information, focusing on Quantum Metrology. I’m a big fan of information geometry but I’m slowly moving to more bayesian stuff.

Giorgi Tsereteli

I recently completed a PhD in computational physics, where I worked on statistical mechanics and simulations of complex systems. I’m now transitioning into AI safety research, with a particular interest in mechanistic interpretability, model alignment, and applying ideas from physics to understanding neural networks.

Giorgio Young

Hi! My background is in spectral theory and quantum dynamics.

Girish Vishwa

Hello! I am Girish, and I just finished my PhD in mathematical physics.

Hugh Dance

Hi, I'm Hugh - i'm currently doing my PhD in Machine Learning at the Gatsby Computational Neuroscience Unit in London. My research is mostly focused on theoretical aspects of causal inference, but I also work on aspects of generative modeling, scalable (probabilistic) inference, and identifiability problems.

Hyeonhee Jin

Hi, I’m Hyeonhee. I recently finished my PhD in geometric/ algebraic topology.

Iustin Surubaru

University of Edinburgh; Fall 2026 Iliad fellow

I'm a mathematical physics PhD student in Edinburgh. I've been working on mathematical aspects of scattering amplitudes using twistor theory and flat-holography methods.

Janik Schüttler

hey. i am janik from germany.

Jiayi Li

Fall 2026 Iliad fellow

Joan Pascual Ribes

I am a last-year Mathematics and Engineering Physics bachelor student. I have experience researching algebraic geometry and algebraic statistics at the Max Planck Institute.

Joonas Vättö

Fall 2026 Iliad fellow

Josep Sans Yeung

Hi! I’m Josep from Barcelona.

Katarzyna Lyczek

I did a bachelor’s and a master’s in mathematics and I’m soon finishing a master’s in machine learning. In my math years I did some research on graph coloring and some on coarse geometry.

Kjartan van Driel

Complexity Science Hub, Vienna; Fall 2026 Iliad fellow

Kyle Wright

I'm a mathematical physicist by training, I did a PhD in theoretical physics at the Australian National University, followed by a postdoc at NYU Abu Dhabi. My research relates to the geometry and topology of string theory: particularly exotic symmetries (L∞-algebroids).

Kyriakos Katsamaktsis

Fall 2026 Iliad fellow

Recent PhD in Extremal and Probabilistic Combinatorics from UCL. Worked as a data scientist and studied at Oxford and Edinburgh before.

Leonardo Costa Lesage

Universitat Politècnica de Catalunya; Fall 2026 Iliad fellow

Marcus Wilhelm

Freshly baked postdoc in theoretical computer science / algorithms. My PhD research was in beyond worst-case analysis of algorithms: using probabilistic (and deterministic, e.g. geometric) techniques to explain why problems can be solved fast in practice despite being hard in theory.

Niamh Maher

I did my PhD in Theoretical Particle Physics at the University of Edinburgh. I then moved to Barcelona and worked as a slot game mathematician for 2.5 years.

Oliver House

Hi! Finished my PhD in algebraic topology last year, fairly new to AI/ML.

Oliver McGrath

Hi everyone, I’m Ollie. I have a research background in analytic number theory, with a PhD from Oxford and postdoctoral experience at KCL.

Omar Darwish

Was at UN (WMO) till recently. During that time got interested in backdoors and AI safety stuff.

Pavel Snopov

Peter Fields

Renata Picciotto

University of Cambridge; Fall 2026 Iliad fellow

Rishikesh Gajjala

I just got done with my CS theory postdoc. I work broadly in theoretical computer science: especially graph theory, computational geometry, quantum computing, and, lately, pushing LLMs to their limits on mathematics.

Roman Kniazev

PhD in theoretical computer science (logic, multi-agent systems and distributed computing), experience in RL and mechint (MechInt workshop paper about how toy model transformer that solves sudoku represents the state). I want to find ways to make interpretability actually useful and practical, as well as work on standardization and auditing practices in AI space.

Sergei Kudriashov

Hello! I’m Sergei, a first year PhD student originating from Russia.

Sergio Estan Ruiz

Hello! I’m Sergio, originally from Spain but moved to the UK for my undergrad (maths) and haven’t been able to escape since!

Shuo Li Liu

I am a decision theorist who love elegant math. As a PhD candidate in economics at Princeton, my primary focus is in agents’ foundation that is identifiable from observable data.

Simon Bernier

Hi! I’m from Montreal, Canada.

Sleem Abdelghafar

Vardhan Kumar Ray

Hi, I'm Vardhan. I'm doing an MSc in computer science after a BSc in maths.

Vladyslav Verteletskyi

Theoretical physicist (Leiden) and quantitative researcher – retired from both, suffering from persistent attraction to academia. Did research in quantum computing (4.5 papers) and astrophysics, also 3 years in algorithmic trading: 1 year in TradFi (IMC: HFT Options MM) and 2 years in DeFi.

William Yang

Hi I'm Will, and I'm doing a PhD in deep learning theory at the Gatsby Unit (UCL) advised by Andrew Saxe / Peter Latham. My current research focuses on theories of learning dynamics, specifically using tools from statistical physics to understand how network representations evolve to enable abstraction, interpretability, etc. I'm pretty new to ML/alignment; my previous love was theoretical neuroscience, and I'm down to chat all things brain-related!

Zaahir Ali

Hi! I’m currently an undergraduate with a background across physics, mathematics (number theory) and computer science (algorithms).