Jiaqi Yang

Jiaqi Yang is a quantitative researcher at Citadel Securities, based in Hong Kong. Per their LinkedIn profile, they hold a Master of Science in Computer Science from UC Berkeley and dual bachelor's degrees in Computer Science (Engineering) and Mathematics from Tsinghua University, and previously worked as a graduate student researcher at Berkeley Artificial Intelligence Research.

Notes12

• Quant employment verification: CONFIRMED. The individual's own LinkedIn profile lists an actual Quantitative Research Intern role (Citadel Securities, Shanghai, 2022) and a Quantitative Researcher role (Citadel Securities, Hong Kong) - a real role/internship, not a student program, insight day, camp or scholarship. Identity is supported by multiple cross-links (IOI profile -> Codeforces 'jiaqiyang' listing Hong Kong/UC Berkeley; LinkedIn listing jiaqiyang.com, Tsinghua Yao Class 2017-2021; GitHub 'tarawa' and X @yangjq17 both linking jiaqiyang.com). Employer classification: Citadel Securities is a global market-making firm (electronic/algorithmic liquidity provider), which is quantitative trading, so it qualifies as quantitative finance. Caveat: the role evidence is the self-reported LinkedIn profile (surfaced via a people index) plus a people-data aggregator; no independent Citadel-published page confirming the role was found, and current employment status is not independently confirmed.2022
• Quantitative Researcher at Citadel Securities, Hong Kong, listed on the LinkedIn profile; the profile's headline reads 'Quantitative Research'. Self-reported profile entry; no independent Citadel-published confirmation of the role was located.2022
• Quantitative Research Intern at Citadel Securities, Shanghai, China (2022), listed on the LinkedIn profile.2022
• Identity anchor: participated in IOI 2017 (China), scoring 265.11/600 for a silver medal, per the IOI statistics site.Aug 4, 2017
• Graduate studies in Computer Science at University of California, Berkeley; worked as a Graduate Student Researcher at Berkeley Artificial Intelligence Research (BAIR) 2021-2022 on machine-learning theory (linear/multi-task bandits).2022
• Attended Tsinghua University's Yao Class (Institute for Interdisciplinary Information Sciences) 2017-2021, earning a BEng in Computer Science and a BSc in Mathematics, per the LinkedIn profile's education section.2021
• IOI profile cross-links Codeforces handle 'jiaqiyang', whose profile lists location Hong Kong and University of California, Berkeley - linking the Olympiad identity to the Berkeley and Hong Kong later-life identity.2017
• Citadel Securities is a global market maker (electronic/algorithmic liquidity provider), i.e. a quantitative trading firm, so the role is in quantitative finance - not merely a company name containing 'quant'.
• X/Twitter handle @yangjq17, bio 'PhD Student @berkeley_ai @Berkeley_EECS @UCBerkeley', links jiaqiyang.com; the bio (account joined Aug 2021) matches the Berkeley research phase rather than the Citadel role and may not reflect current activity.Aug 2021
• Coauthored 'Impact of Representation Learning in Linear Bandits' (ICLR 2021) with Wei Hu, Jason D. Lee and Simon S. Du - a Berkeley ML-theory paper.Oct 13, 2020
• Google Scholar profile (BaCR90MAAAAJ) shows ~592 citations and h-index 10 with ML-theory work dated 2020-2022, consistent with the Berkeley research period.Sep 17, 2026
• Coauthored 'Linear Bandits with Limited Adaptivity and Learning Distributional Optimal Design' with Yufei Ruan and Yuan Zhou.2021