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Laurynas Mikšys

Machine Learning Engineer at G-Research
G-Research · London, England, United Kingdom · engineer
Machine Learning Engineer At G-Research, London (2021-present), A Quantitative Finance Research And Technology FirmManager/Scientist In AIG's Investments AI Team, London (2018-2021)Bronze Medal, IMO 2006 (Lithuania)Co-author, 'Straight To Shapes++' (arXiv 2019; JMLR 2022)

Laurynas Mikšys is a Lithuanian machine-learning engineer based in London, a Machine Learning Engineer at G-Research, the London quantitative finance research and technology firm, which he joined in 2021. He studied mathematics at the University of Cambridge (Part IB 2007-2010; Part III/MMath 2010-2011) and took an MSc in Computer Science at the University of Oxford (2016-2017), after representing Lithuania at the International Mathematical Olympiad in 2006 with a bronze medal. His career runs from consulting at Civitta in Vilnius (2011-2013) and research engineering on face-recognition feature extraction at Neurotechnology (2013-2016), through machine-learning scientist and manager roles in AIG's Investments AI team in London (2018-2021), to G-Research. He co-authored the peer-reviewed computer-vision paper 'Straight to Shapes++: Real-time Instance Segmentation Made More Accurate' (arXiv 2019; JMLR 2022).

Details
LocationLondon, England, United Kingdom
Company sitegresearch.com
UniversityUniversity of Cambridge
Machine LearningArtificial Neural NetworksMathematical ModelingResearchPythonStatisticsLuaDeep LearningAlgorithmsMarket ResearchData AnalysisMathematics
Notes
  • Quant employment verification: UNRESOLVED. The only evidence for a G-Research (gresearch.com, London quantitative-finance research firm applying machine learning to financial markets) role is index/aggregator-derived: the caller-supplied lead 'taiga-27035185', the LinkedIn-enrichment index, and the third-party team directory theorg.com, which lists 'Laurynas Mikšys - Machine Learning Engineer' in its G-Research machine-learning team. None of these is independent primary-source confirmation of the role; no first-party G-Research page or accessible LinkedIn profile listing corroborated it in this run. Employer classification IS supported (G-Research operates in quantitative finance), but classification of the employer is not confirmation of the role. Identity is well supported across independent sources (Cambridge Queens' College records, the arXiv/JMLR co-authored paper, and IMO 2006 records). No bank, asset-manager, energy or crypto trading employment surfaced; index-only past employers (AIG Investments AI, Neurotechnology, Civitta) are likewise not primary-confirmed. Because the specific role rests on index-only/aggregator data, employment is recorded as UNRESOLVED rather than confirmed.Sep 2026
  • G-Research is a London-based quantitative finance research firm applying machine learning to financial markets, so his role sits with a quantitative-finance employer (employer classification, not independent confirmation of the role).2026
  • Career spine (index-only, LinkedIn enrichment, pending primary-source confirmation): ML Engineer at G-Research (London, 2021-present); Manager, ML, Investments AI and ML Scientist, Science at AIG (London, 2019-2021); Research Engineer at Neurotechnology; Senior Analyst and Management Consultant at Civitta (Vilnius).
  • Represented Lithuania at IMO 2006 (Ljubljana), scoring 15 points, bronze medal, individual rank 189.Jul 2006
  • Third-party team directory theorg.com lists 'Laurynas Mikšys - Machine Learning Engineer' on the G-Research machine-learning engineering team, with a profile photo; this is an aggregator corroborating the title but is not a first-party G-Research source.Sep 2026
  • Queens' College, Cambridge Record 2012 lists him as a Part III Mathematics student, consistent with the Cambridge MMath and linking the IMO-era Lithuanian student to Cambridge.2012
  • Education timeline (index-only, LinkedIn enrichment): Kaunas University of Technology Gymnasium (2003-2007, Brandos Atestatas Mathematics/Physics/English), Cambridge BA Mathematics (2007-2010), Cambridge MMath Mathematics (2010-2011), Oxford MSc Computer Science (2016-2017).
  • Co-author of 'Straight to Shapes++: Real-time Instance Segmentation Made More Accurate' (2019) with Jetley, Sapienza, Golodetz and Torr, in the Oxford VGG group.May 2019
  • Lectured at VšĮ Nacionalinė moksleivių akademija (Lithuanian National Students' Academy) and volunteered with Lietuvos Sporto Savanorių Sąjunga, per the LinkedIn enrichment index.

Competition record

Lithuania · IMO

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