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Gabriel Isheden

CEO Intelligent Decision Analytics | PhD in Biostatistics from Karolinska Institutet
Intelligent Decision Analytics · Greater Stockholm Metropolitan Area · operator
IMO 2009 Bronze Medal (Sweden) And IMO 2008 Honourable MentionPhD In Biostatistics, Karolinska Institutet (2019)CEO Of Intelligent Decision Analytics; Owner Of M Statistik ABCo-founder Of Data-analytics Consultancy Euclidica AB (2016-2018)Former Junior Quantitative Risk Analyst At Hedge-fund Brummer & Partners (2012)

Gabriel Isheden is a Swedish biostatistician and data-science entrepreneur based in Stockholm. He represented Sweden at the International Mathematical Olympiad in 2008 (Honourable Mention) and 2009 (Bronze). He holds an MEng in Engineering Physics (Teknisk Fysik) from KTH and an MSc in Mathematics from Stockholm University, and completed a PhD in Biostatistics at Karolinska Institutet (2016-2019). He is CEO of Intelligent Decision Analytics and owner of M Statistik AB, and previously co-founded the data-analytics consultancy Euclidica AB.

Stockholm-based biostatistician and data-science entrepreneur. IMO 2008 (HM) and IMO 2009 (Bronze) for Sweden. MEng Engineering Physics (KTH), MSc Mathematics (Stockholm University), PhD Biostatistics (Karolinska Institutet). CEO of Intelligent Decision Analytics; owner of M Statistik AB (biostatistics/data-science consulting); co-founder of Euclidica AB (2016-2018).

Details
LocationGreater Stockholm Metropolitan Area
Company siteideasoftware.ai
UniversityKarolinska Institutet
Notes
  • Quant employment verification: CONFIRMED. Index-only claim (LinkedIn-derived enrichment, not independent primary-source confirmation): Gabriel Isheden lists a Junior Quantitative Risk Analyst role at Brummer & Partners (Jun 2012 - Aug 2012) and an earlier Summer Risk Analyst role there (2011). Brummer & Partners (brummer.se) is a Stockholm-headquartered alternative-investment/hedge-fund firm (Brummer Multi-Strategy, investment management), so the employer genuinely operates in quantitative/systematic investment and risk. Identity is supported: the same LinkedIn profile is corroborated by primary sources (Elypta team page, KI thesis news, ORCID, GitHub), and its education timeline (Danderyds Gymnasium, KTH, Stockholm University, Karolinska) matches. The role is an actual analyst/summer-analyst position, not a student insight day or scholarship, so the confirmation bar is met; however the role itself is asserted only by the index/LinkedIn and no independent primary-source document (e.g. a Brummer page) was located.Jun 2012
  • No evidence of a current or recent role at a quantitative trading, market-making, hedge-fund or systematic fund other than the 2011-2012 Brummer & Partners analyst/summer-analyst entries; his post-2012 career is entirely in biostatistics, health economics and data-science consulting.2026
  • CEO (VD) of Intelligent Decision Analytics (ideasoftware.ai) since 2021 and owner (Agare) of M Statistik AB since 2015, a biostatistics/data-science consultancy whose stated clients are Scandinavian Development Services and ICON plc.2021
  • Defended his PhD thesis 'Statistical models of breast cancer tumour growth and spread' at Karolinska Institutet on 10 December 2019; opponent Prof. Peter Sasieni (King's College London), supervisors Keith Humphreys and Kamila Czene.Dec 10, 2019
  • Senior Biostatistician at Elypta AB, a Stockholm cancer-diagnostics (glycosaminoglycan liquid biopsy) company; his team page lists him with the role and links his LinkedIn.2024
  • Represented Sweden at IMO 2009 and won a Bronze medal (14 points, rank 264, 53.5%); scored 7 on problems 1 and 2.Jul 2009
  • Represented Sweden at IMO 2008 and received an Honourable Mention (11 points, rank 320, 40.4%); scored 7 on problem 1 and 4 on problem 4.Jul 2008
  • Education: Matematikgymnasiet at Danderyds Gymnasium (2006-2009), Konstnarlig grundutbildning at Nyckelviksskolan (2009-2010), MEng Teknisk Fysik at KTH (2010-2015), MSc Mathematics at Stockholm University (2013-2015), PhD Biostatistics at Karolinska Institutet (2016-2019).2019
  • Co-authored a peer-reviewed biostatistics record including 'Modelling breast cancer tumour growth for a stable disease population' (Stat Methods Med Res, 2017) and 'A unifying framework for continuous tumour growth' (Math Biosci / PubMed 2022).2017
  • Co-founded Euclidica AB (euclidica.com), a data-analytics consultancy spanning mathematical optimization and machine learning, active 2016-2018, overlapping his Karolinska PhD years.2016
  • GitHub account 'Skjulet' (github.com/Skjulet) is titled 'Gabriel Isheden', and a breast-cancer natural-history calibration repository citing him aligns with his Karolinska biostatistics work, corroborating the account as his.2023
  • Master's thesis at KTH 'Bayesian Hierarchic Sample Clustering' and related work on topological data analysis for NLP ('Semantic Topology'), an early-2015 data-science direction that later fed his analytics consultancy work.2015

Competition record

Sweden · IMO

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