Houssam El Cheairi

Houssam El Cheairi is a PhD student in Operations Research at MIT's Operations Research Center, advised by David Gamarnik, working on high-dimensional statistics and theoretical computer science. He represented Morocco at the International Mathematical Olympiad 2016 (bronze medal). He holds a Master's degree in Mathematics and Computer Science from Ecole Polytechnique (2018-2021). Industry experience includes quantitative internships at Hudson River Trading (2025) and GTS (2024), plus research/engineering internships at INSEAD (2021) and Fujitsu (2020).

Notes8

• Algorithm Developer Intern at Hudson River Trading, New York, dated 2025 on LinkedIn (index-only claim; HRT is a global algorithmic/high-frequency trading firm, so the employer operates in quantitative finance).2025
• Quant employment verification: UNRESOLVED. Houssam El Cheairi's quantitative-finance roles are recorded only in LinkedIn profile-index data, not in an independent primary source (no employer page, press release, or bylined announcement surfaced naming him). Index record lists two internships: 'Algorithm Developer Intern' at Hudson River Trading (New York, 2025) and 'Quantitative Trading Intern' at GTS (New York, 2024, described as 'Quant Intern within the ETF market-making team'). Employer classification: Hudson River Trading is a global algorithmic/high-frequency trading firm (primary sources: hudsonrivertrading.com About/Careers); GTS (Global Trading Systems) is a NYSE designated market maker and ETF market maker (primary sources: gtsx.com/etf-market-making, Wikipedia 'GTS (company)'). Both verifiably operate in quantitative trading, so the employer classification is supported; the subject's actual employment rests on index data alone, so it is UNRESOLVED rather than CONFIRMED. Student/incoming-offer programs do not apply here. Identity is supported: the LinkedIn profile, the Simons Institute bio, and the IMO 2016 results page all describe the same Morocco-raised, Ecole Polytechnique / MIT-ORC mathematician.2025
• Quantitative Trading Intern at GTS, New York, dated 2024, described as 'Quant Intern within the ETF market-making team' (index-only claim; GTS/Global Trading Systems is a NYSE designated market maker and ETF market maker, a quantitative trading firm).2024
• PhD in Operations Research at MIT's Operations Research Center, advised by David Gamarnik; research in applied probability, computational complexity of high-dimensional statistics, and combinatorics (Simons Institute bio).
• Bronze medal at IMO 2016 (Hong Kong): scored 18/42 (7,1,0,6,4,0), rank 206; Morocco's top scorer that year.Jul 2016
• Research Assistant Intern at INSEAD's Decision Sciences Department (2021), working on sum-of-squares optimization and semidefinite programming; awarded Ecole Polytechnique's Research Internship Grand Prize in Applied Mathematics.2021
• Ecole Polytechnique: BSc in Mathematics and MSc in Applied Mathematics (2018-2021), per Simons bio; LinkedIn lists a Master's degree in Mathematics and Computer Science.
• Co-authored 'Theoretical Compression Bounds for Wide Multilayer Perceptrons' with David Gamarnik and Rahul Mazumder (PMLR / arXiv 2512.06288).2026
• Co-authored 'Densest Subgraphs of a Dense Erdos-Renyi Graph: Asymptotics, Landscape, and Universality' with David Gamarnik, published in SIAM Journal on Discrete Mathematics (2025).Jun 2025
• Co-authored 'Algorithmic Universality, Low-Degree Polynomials, and Max-Cut in Sparse Random Graphs' with David Gamarnik (arXiv, Dec 2024).Dec 2024
• Simons Institute lists him as a Visiting Graduate Student in the 'Graph Limits and Processes on Networks' program, Fall 2022.Sep 2022
• Artificial Intelligence Intern at Fujitsu (Saclay, France, 2020), working on deep learning and computer vision (GAN image-to-image translation, pose transfer) — an engineering research internship, not a quant role.2020