Euan Ong

Member of Technical Staff working on Alignment Science (interpretability) at Anthropic, based in San Francisco. Cambridge Computer Science graduate (Trinity College, 2020-2023), ranked 1st of ~120 each year and holder of the 2023 department Best Dissertation Award. IOI 2020 bronze medallist for the United Kingdom. Co-author of peer-reviewed work on neural algorithmic reasoning, graph neural networks and mechanistic interpretability (LoG 2022, ICLR 2024, ICML 2024). Previous software engineering internship at Jane Street Capital (Jul-Sep 2022) and research internship at the Center for Human-Compatible AI.

Notes2

• Quant employment verification: CONFIRMED. Euan Ong held an actual software engineering internship at Jane Street Capital in London from Jul-Sep 2022, developing in-house systems in OCaml (an email-processing pipeline with a filtering DSL and a field-accessor generator); his own CV states he received an offer to join as a full-time software engineer. Jane Street Capital is a quantitative trading firm and market maker, so this is genuine quantitative-finance employment (internship), not a student program or insight day. Identity is supported by the linked LinkedIn profile (linkedin.com/in/euanong), the personal site ong.ac whose CV documents the role, and the IOI 2020 UK team membership. The subsequent full-time offer is an incoming offer only and does not by itself establish a further role.Jul 2022
• Career timeline from the CV: FocalPoint Positioning R&D intern (Jul-Aug 2021) evaluating ML models in a pedestrian dead-reckoning pipeline; Cisco Ensoft software-development micro-intern (Jul 2021) building Python features for an internal dashboard; Jane Street Capital software engineering intern (Jul-Sep 2022, OCaml); Center for Human-Compatible AI (CHAI) research intern (Jul-Sep 2023) on image hijacks; Anthropic Member of Technical Staff from 2024. FocalPoint Positioning works on GNSS/positioning technology, Cisco Ensoft on networking software, CHAI and Anthropic on AI research - none of the latter three are quantitative-finance firms.Jul 2021
• Former co-founder of Reagent AI (later Yoneda Labs), accepted to Y Combinator's W24 batch, applying Bayesian methods to optimise chemical reactions; the CV states he left the startup to pursue academic research.2023
• B.A. (Hons) Computer Science, Trinity College, University of Cambridge (2020-2023), First Class Honours with Distinction; ranked 1st of ~120 students in all three years and awarded the CST Department Prize for Best Student each year.2023
• Represented the United Kingdom at IOI 2019 (Baku) and IOI 2020 (held online, Singapore/Azerbaijan), winning a bronze medal at IOI 2020, placing 91st of 343 contestants, as one of the top four UK computer scientists.Sep 2020
• Publications: 'Learnable Commutative Monoids for Graph Neural Networks' (with Petar Velickovic, Learning on Graphs Conference 2022); 'Image Hijacks: Adversarial Images can Control Generative Models at Runtime' (equal first author with Luke Bailey, ICML 2024); 'Successor Heads: Recurring, Interpretable Attention Heads In The Wild' (ICLR 2024); bachelor's thesis 'Probing the foundations of neural algorithmic reasoning' (UCAM-CL-TR-990, 2023).2024
• Current role is Member of Technical Staff working on Alignment Science (interpretability) at Anthropic in San Francisco, a role the index places from 2024; this is a live index-derived employer claim for Anthropic (an AI research company), corroborated by the Anthropic alignment blog ('Would This Change Your Answer?') and Google search surface, but it is not a quantitative-finance role.2024
• Won the university-wide Winifred Georgina Holgate Pollard Memorial Prize in 2023 and the Cambridge CS department's Best Dissertation Award for 2023; elected to a Senior Scholarship at Trinity College after his first year, plus the Percy and Jeremy Pemberton Prizes, Examination Prize and Top of Tripos Prize.2023
• Cybersecurity contest record dating from 2017: first place as part of team cheriPI at the pwnEd finals (Univ. of Edinburgh) and LakeCTF (EPFL) in 2023; first place at the international Country-to-Country CTF (2022); invited to Meta's BountyConEDU conference (2022); top-15 at NYU's CSAW CTF qualifiers (2021); won the Global CyberPeace Challenge CTF IT track (2021); second on the SANS SEC504 course CTF (2020).2023
• Won the Data Science project award (senior category, age 17-19) at the TeenTech Awards 2020 for a Faster R-CNN object-detection project on thermal imagery for search-and-rescue navigation aids.2020