Gustav Kalander

Gustav Kalander is a Swedish computer scientist and competitive programmer. He represented Sweden at the International Olympiad in Informatics in 2019 and 2020, winning a bronze medal both times (Codeforces handle GustavK). He studied at Chalmers University of Technology (BSc Computer Science and Engineering, 2020-2023; MSc Data Science and AI, 2023-2025), with an exchange year at the National University of Singapore. His internships include Software Intern at Huawei (2022), Research Scientist Intern at AI Sweden (2023, federated-learning security), and Algorithm Developer Intern at Hudson River Trading in Singapore (2024). He completed a 2025 master's thesis with Zenseact on improving perception systems for autonomous driving, and co-authored a paper on poisoning attacks in federated learning for autonomous driving. Index-only details are labelled as such; employment verification is summarised in the profile notes.

Notes5

• Quant employment verification: CONFIRMED. Employment evidence: the LinkedIn profile (gustav-kalander-9629b71ba) lists 'Algorithm Developer Intern' at Hudson River Trading, Singapore, May 2024 - August 2024 (4 months), with the same profile also showing the Chalmers/NUS education that matches the IOI Sweden competitor identity. Employer classification: Hudson River Trading is a proprietary algorithmic/quantitative market-making trading firm (not a name-only 'quant' match); the internship title 'Algorithm Developer' is a technical quant-trading role. Limitation: the role rests on the self-reported LinkedIn profile; no independent HRT-side (careers page, press, team page) corroboration was located, and the LinkedIn data was reached via an index/enrichment snapshot rather than a live primary page, so it is not treated as independent primary-source confirmation. Not a student insight day, camp, scholarship, or incoming offer; it is a listed internship.May 2024
• IOI 2019 (Azerbaijan) representing Sweden: Bronze medal, 264.85 points, rank 146 of 327; IOI 2020 (online) representing Sweden: Bronze medal, 310.96 points, rank 104 of 343.Sep 2020
• Master's thesis (2025) at Zenseact on improving perception systems for autonomous driving, with Faton Hoti; code in the zenseact/swarm-learning-master-thesis repository.2025
• Co-author of 'Poisoning Attacks on Federated Learning for Autonomous Driving' (arXiv:2405.01073), research carried out during the AI Sweden internship.May 2024
• Education timeline: Teknikprogrammet at Kitas Gymnasium (2017-2020), BSc Computer Science and Engineering at Chalmers (2020-2023), exchange in Computer Science at National University of Singapore (2023-2024), MSc Data Science and AI at Chalmers (2023-2025).2025
• Huawei Software Intern, 2022, and AI Sweden Research Scientist Intern, 2023 (federated-learning poisoning attacks and defenses) precede the 2024 HRT internship, giving a software/research-intern track before the quant-trading internship.2023
• Won Considition 2022 (global sustainability hackathon run by Consid) as a Chalmers student team with Loke Gustafsson.2022
• Considition win is corroborated by an independent Consid news page (not just the LinkedIn profile).2022