Tianfang Zhang
- Quant employment verification: CONFIRMED.Aug 16, 2025
- Quant employment verification: CONFIRMED. Tianfang Zhang held an actual quantitative-research role at a systematic hedge fund: Quantitative Researcher at Lynx Asset Management (2022-2026) and Senior Quantitative Researcher (2026-present), per LinkedIn-derived enrichment; his own words in the Ung Vetenskapssport alumni interview state 'Jag jobbar idag pa [hedgefonden] Lynx som kvantitativ forskare' (I work today at the [hedge fund] Lynx as a quantitative researcher). He also completed a 2016 summer internship at Ampfield Aktiebolag, a Stockholm proprietary trading firm trading currency and commodity futures with an automated, mathematical approach (ampfield.se). Employer classification: Lynx Asset Management (lynxhedge.se) is a systematic/quantitative investment manager, partly owned by Brummer & Partners; Ampfield is a proprietary trading firm. Both operate in quantitative finance. Identity support: LinkedIn plus the UVS interview (Swedish Olympiad alumnus, KTH Engineering Physics, now at Lynx). NOTE: role titles/dates rest on LinkedIn-derived index enrichment; the fact of working at Lynx as a quantitative researcher is corroborated by his own words in the independently published interview. Competition medals, camps and board service are not employment and do not count.
- Career timeline: Research Engineer at RaySearch Laboratories (2019-2021), Industrial PhD Student at RaySearch (2020-2021), Senior Research Engineer at RaySearch (2021-2022), Consultant at Depict.ai (2021), AI Scientist at Silo AI (2022), then Quantitative Researcher at Lynx Asset Management (2022-2026) and Senior Quantitative Researcher (2026-present).2026
- Index/aggregator-only caveat: the precise role titles and month-level dates for the Lynx and RaySearch positions come from LinkedIn-derived enrichment (an index), which is not independent primary-source confirmation; only the fact of a quantitative-research role at Lynx is corroborated by his own words in the UVS interview, and the current-title 'Senior' designation is index-only.Aug 16, 2025
- Namesake warning: tianfang-zhang.github.io and the associated Tsinghua/University of Copenhagen researcher are a DIFFERENT Tianfang Zhang and are not this person; search results for 'Tianfang Zhang' also surface unrelated academics, an engineer and HR managers. Identity here is anchored to the Swedish IMO contestant / KTH Engineering Physics / Lynx profile.2026
- 2016 summer internship at Ampfield Aktiebolag was an applied quant-finance project on optimal trading with transaction costs using a Hamilton-Jacobi-Bellman approach, theoretical and numerical including building a program.2016
- Lynx Asset Management is a Stockholm quantitative/systematic investment manager founded 1999 and partly owned by Brummer & Partners; the affiliation recurs in his own framing of his work as 'very much mathematics'.Mar 16, 2026
- Co-founded Ung Vetenskapssport (UVS) in 2015 and sat on its board until 2019, primarily organising mathematics camps; the first camp drew ~20 participants, rising to 50 then 100+ in following years.Aug 16, 2025
- PhD thesis 'Probabilistic machine learning methods for automated radiation therapy treatment planning' defended December 2021 as an industrial PhD student at RaySearch Laboratories, affiliated with KTH's Division of Mathematical Statistics.Dec 2021
- Education is a dual Stockholm track: BSc Engineering Physics at KTH (2015-2018), BSc Business and Economics at Stockholm School of Economics (2016-2019), MSc Applied and Computational Mathematics at KTH (2018-2019), then a PhD in Mathematical Statistics at KTH (2020-2021).2021
- Represented Sweden at the IMO three times: Bronze 2015 (15 pts, rank 217), Honourable Mention 2014 (9 pts, rank 404) and Honourable Mention 2013 (7 pts, rank 394).2015
- Ampfield (ampfield.se) is a Stockholm proprietary trading firm trading liquid currency and commodity futures with an automated, quantitative, mathematical approach; it recruits from the Engineering Physics programme and offers internships, part-time roles, degree projects and full-time positions.2026
Scoping, implementing and delivering production-grade solutions for clients in various industries. Deep academic expertise and advancing R&D projects in machine learning and relate
I worked as a consultant investigating strategies for retargeting recommendations, which involved analysis of historical transaction data using machine learning methods as well as
In December 2021, I defended my thesis "Probabilistic machine learning methods for automated radiation therapy treatment planning". I was affiliated with the Division of Mathemati
My task was to investigate new methods in different parts of the treatment planning optimization in RayStation. This included developing ideas from my MSc thesis into two separate
Held exercises in Linear Algebra, Advanced Course (SF1681), for second-year Engineering Physics students during Fall 2017 and 2018.
Competition record
Sweden · IMO