Vincent de Bakker

Vincent de Bakker combines a competitive-programming and academic computer-science background with quantitative trading. German IOI 2019 bronze medalist; BSc CS RWTH Aachen, MSc CS KIT; visiting student researcher at Stanford (2025); co-author on robotics (NeurIPS 2025) and edge-inference (IJCAI 2026) papers. Industry experience includes SAP (2022-2023) and KIT student assistant (2023-2024), and a Quantitative Trading Internship at Jane Street in London (2024).

Notes10

• Quant employment verification: CONFIRMED. The individual's identity is supported by a corroborated chain (IOI 2019 Germany bronze medalist from St.-Bernhard-Gymnasium Willich -> BSc CS RWTH Aachen 2019-2022 -> MSc CS KIT 2022-2025 -> Stanford visiting student 2025 -> London-based quantitative trader). Employment evidence: a Quantitative Trading Intern role at Jane Street in London in 2024 and a Quantitative Trader role at Jane Street in London reported as current from September 2025 (index-derived). Employer classification: Jane Street Group (janestreet.com) is a quantitative trading firm and market maker, i.e. an actual quantitative-finance employer, not a firm merely named 'quant'. The internship and the trader role are real work roles, not competitions, insight days, camps or scholarships. Note the current-role details rest on the index and are labeled as such.Jan 1, 2026
• Jane Street Quantitative Trading Intern (London) in 2024; Jane Street is a quantitative trading firm / market maker (equities, bonds, ETFs, options, commodities and crypto), so this is a genuine quantitative-finance role rather than a student program.Jul 1, 2024
• These two Jane Street role records (Quantitative Trading Intern, 2024; Quantitative Trader, current) come from the ClickHouse people index / LinkedIn enrichment and are index-only, not independently confirmed by a primary-source page; treat the dates and the 'current' status as unverified.Jan 1, 2026
• OpenReview profile (~Vincent_de_Bakker1) lists career history as BSc Computer Science, RWTH Aachen University 2019-2022, then MSc Computer Science, Karlsruhe Institute of Technology (KIT) 2022-2025, and confirms a Linkedin link to the same profile URL; the 2019-2022 RWTH window is consistent with a 2019 high-school graduation.May 1, 2025
• Namesake warning: the X account @vincentdebakker (bio 'microbiologist, statistician | postdoc @HarvardMedical') and the GitHub account vincentdebakker (bio 'Postdoctoral Research Fellow @ Bernhardt Lab, Harvard Medical School') belong to a different Vincent de Bakker, a Harvard microbiologist; they should NOT be attached to this profile.Sep 20, 2024
• Co-authored 'Scaffolding Dexterous Manipulation with Vision-Language Models' (NeurIPS 2025) with Joey Hejna, Tyler Ga Wei Lum, Onur Celik, Aleksandar Taranovic, Denis Blessing, Gerhard Neumann, Jeannette Bohg and Dorsa Sadigh, matching the 2025 Visiting Student Researcher role at StanfordDec 1, 2025
• Won a bronze medal (300.15 pts, rank 104/327) representing Germany at IOI 2019 in Baku; official IOI statistics database.Aug 12, 2019
• Completed his Abitur at the private St.-Bernhard-Gymnasium in Willich, North Rhine-Westphalia, and gave his home town as Schiefbahn (Willich); this school matches the LinkedIn education entry and anchors the connection between the Olympiad identity and the Jane Street profile.Aug 12, 2019
• Co-authored 'Going Beyond the Edge: Distributed Inference of Transformer Models on Ultra-Low-Power Wireless Devices' (IJCAI 2026) with Alexander Gräfe, Ding Huo, Johannes Berger, Marco Zimmerling and Sebastian Trimpe, tying him to KIT's networked-embedded-systems and robotics groups.Jan 1, 2026
• Was a Visiting Student Researcher at Stanford University in 2025, which produced the NeurIPS 2025 dexterous-manipulation paper with the Stanford ILIAD group (index-derived role, corroborated by the publication).Jun 1, 2025
• Named a Bundessieger of the 37th Bundeswettbewerb Informatik in 2019 (aged 18, from Willich), the German national informatics competition that also feeds IOI selection; the finale was hosted by SAP.Sep 1, 2019
• At IOI 2019 solved task 'shoes' with the optimal solution (100 pts), per German contest organizer BWINF.Aug 12, 2019