CANONICAL LABS · LOOKALIKE FINDER

Stanislav Fort

Founder & Chief Scientist · AISLE · Prague, Czechia (CZ)

Stanislav Fort

Founder & Chief Scientist · AISLE · Prague, Czechia (CZ)

Career arc

Stanislav Fort began his career with a strong academic background in physics and mathematics from the University of Cambridge and a PhD in AI/ML from Stanford. He transitioned into AI research, holding roles at Google Brain, Anthropic, Stability AI, and Google DeepMind, where he focused on large language models, AI safety, and adversarial robustness. Currently, he is the Founder and Chief Scientist of AISLE, a startup dedicated to AI security, based in Prague.

Defining traits

Deep theoretical physics foundation (astrophysics, quantum physics) evolved into applied AI security work—uses high-dimensional geometry and loss landscape intuition to understand adversarial vulnerabilitiesRotated through every major AI safety lab (Google Brain, Anthropic, DeepMind, Stability AI) before founding—absorbed diverse safety cultures and LLM approaches across the industry's core institutionsStarted winning international physics and astronomy olympiads as a teenager, now frames mission as 'securing the software foundation of modern civilization'—consistent pattern of tackling hardest available problem at each scaleCareer-long focus on adversarial robustness, attacks, and out-of-distribution behavior—sees systems through attacker's eyes, now building AI that finds vulnerabilities before hackers doWent from pure research scientist to LLM lead to founding technical CEO—translating interpretability and robustness research into production security toolingBased in Prague while working with top US labs, advises Czech government on AI policy, organizes olympiads—bridges Silicon Valley frontier research with Central European technical communityMentors high-school students, teaches at summer academies, co-organizes olympiads—transmits knowledge through competitive problem-solving rather than traditional pedagogy

People with similar career DNA

Alhussein Fawzi

Co-Founder and CEO · Hiverge

Research Scientist at Google DeepMind working on ML, CV, and signal processing, pioneered DeepFool algorithm for computing minimal adversarial perturbations. Transitioned from pure research on adversarial robustness at a frontier lab to founding CEO of Hiverge.

Why: Perfect match on adversarial ML expertise (DeepFool) and DeepMind→founder trajectory. Missing physics foundation and Central European connection, but career arc from frontier lab research to founding CEO mirrors Fort closely.

Alex Georges

Founder · AetherLab

Started in particle physics at Lawrence Berkeley, pivoted to AI safety in grad school focusing on adversarial attack defense. Led deep tech strategy and AI engineering before founding AetherLab, translating 15 years of AI research into products.

Why: Nearly identical physics→adversarial AI safety→founder path. Particle physics background directly parallels Fort's astrophysics. Less evidence of rotating through multiple frontier labs, but core DNA is remarkably similar.

Sahil Agarwal

Co-Founder & CEO · Enkrypt AI

Transitioned from modeling Arctic ice drift to modeling AI misbehavior. Co-founded Enkrypt AI to find harmful outputs in LLMs, raised $2.35M seed round. Yale PhD background applied to adversarial testing and AI safety.

Why: Strong physics→AI security bridge (climate modeling to adversarial AI). Career-long adversarial focus ('finding worst things chatbot might say'). Missing frontier lab rotation and olympiad background.

Saahil Shenoy

Founding AI Scientist · Bedrock Security

Stanford Physics PhD (2016) advised by Nobel Laureate, specialized in AI applications for large-scale climate datasets. Now Founding AI Scientist at Greylock-backed Bedrock Security, applying physics training to AI security challenges.

Why: Elite physics pedigree (Nobel Laureate advisor) to AI security founding role. Strong theoretical→applied trajectory. Less evidence of adversarial specialization or frontier lab experience than Fort.

Kevin Roth

Co-Founder & COO · DeepJudge

ETH Zurich ML PhD focusing on theoretical physics, mathematical statistics, and adversarial ML (GAN regularization). Co-founded DeepJudge to translate robustness research into production systems.

Why: Strong physics→adversarial ML→founder path from ETH Zurich (Central European hub). GAN regularization work shows adversarial thinking. Less evidence of frontier lab rotation or olympiad background.

Jakub Pachocki

Chief Scientist · OpenAI

Polish competitive programmer who won international olympiads, became OpenAI's Chief Scientist overseeing GPT-4 development. Represents olympiad→frontier AI trajectory at the highest technical level.

Why: Perfect match on olympiad→civilization-scale trajectory and Central European (Poland) connection. Missing physics background and adversarial security focus; stayed in research rather than founding.

Mateo Rojas

Co-Founder and CTO · Lakera AI

Built web-scale systems at Google before co-founding Lakera AI as CTO. Now Head of Research for AI Agent Security in Zurich, focusing on safety and trustworthiness of AI systems.

Why: Google→AI security founder trajectory with Central European base (Zurich). Strong on research-to-product and adversarial focus. Missing physics foundation and olympiad background.

Martin Rehak

CEO & Founder · Resistant AI

25+ years building secure ML algorithms, founded Resistant AI in Czechia to protect financial systems from adversarial attacks, manipulation and misuse. Focuses on robust and fair machine learning.

Why: Perfect Central European match (Czechia-based like Fort). Career-long adversarial ML focus protecting critical systems. Missing physics background and frontier lab experience, but geographic and mission alignment is strong.

Related research on arXiv

Who else is working on this.

cs.CL2026

Yuvion LLM: An Adversarially-Aware Large Language Model for Content And AI Safety

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cs.CV2024

Adversarial Robustness for Visual Grounding of Multimodal Large Language Models

Kuofeng Gao, Yang Bai, Jiawang Bai

cs.AI2024

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions

Chen Chen, Xueluan Gong, Ziyao Liu

cs.CY2024

AI Safety in Generative AI Large Language Models: A Survey

Jaymari Chua, Yun Li, Shiyi Yang

cs.CV2025

Survey of Adversarial Robustness in Multimodal Large Language Models

Chengze Jiang, Zhuangzhuang Wang, Minjing Dong

cs.CY2025

AI Safety for Everyone

Balint Gyevnar, Atoosa Kasirzadeh

Latest activity

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LinkedIn · Alex Georges

LinkedIn · Alex Georges