Grigor Keropyan

Experienced data scientist with a demonstrated work history in the industry and a strong math background.

Notes9

• Quant employment verification: CONFIRMED - the profile holds actual quantitative-research roles at WorldQuant (Quantitative Researcher 2023; Senior Quantitative Researcher 2024-2025; VP Research 2026-), a firm independently verified as a quant asset manager/hedge fund. Identity is supported by the linked chain of IMO participation (Armenia 2014/2015), the TUM causal-discovery publication under the same name, and the GitHub account grigor97 cross-linking TUM and Scholar. Caveat: the role timeline rests on LinkedIn profile data surfaced through structured enrichment (index-only) and could not be re-confirmed on the live LinkedIn page (HTTP 999); employer classification is independently sourced.2026
• LinkedIn profile data (structured enrichment) lists a WorldQuant research progression: Quantitative Researcher 2023, Senior Quantitative Researcher 2024-2025, and Vice President, Research from 2026, all in Armenia - an actual quant-research career track rather than a student program. INDEX-ONLY claim (LinkedIn profile as surfaced via enrichment; the live LinkedIn page returned HTTP 999 and could not be loaded directly).2026
• WorldQuant is an independently confirmed quantitative asset management firm and hedge fund, founded 2007 by Igor Tulchinsky, HQ Old Greenwich CT, ~$7B AUM across 13 countries - so his employer is genuinely a quant-finance firm, not merely a name containing 'quant'.Sep 2026
• Represented Armenia at IMO 2015, earning a Bronze medal with 18 points (rank 140); scores 7/0/1/7/3/0.Jul 2015
• Represented Armenia at IMO 2014 in Cape Town, earning an Honourable Mention with 15 points (rank 296); scores 7/0/0/7/1/0 across P1-P6.Jul 2014
• GitHub account grigor97 is Grigor Keropyan, listed at Technical University of Munich, Munich, Germany, and linking his Google Scholar profile; the cross-link to Scholar is the identity confirmation tying the code account to the researcher.Sep 2026
• Co-authored 'Rank-Based Causal Discovery for Post-Nonlinear Models' (Keropyan et al.), published in PMLR v206 (AISTATS 2023), a peer-reviewed methodological contribution to causal discovery.Apr 2023
• Held a Computer Vision / Machine Learning Research Internship (Cloud Rendering) at Huawei in Munich in 2022 while at TUM - an industry research internship, not a competition or insight day. INDEX-ONLY claim (LinkedIn enrichment).2022
• Master's thesis at TUM produced the repository pnl_gaussian (Post-Nonlinear Gaussian Causal Models), the code behind his AISTATS 2023 publication.2022
• Education spans the Special Physic-Mathematical School after Artashes Shahinyan (high-school diploma, 2012-2015 - the specialist math school feeding Armenia's IMO team), Yerevan State University (BSc Informatics and Applied Mathematics 2015-2019; MSc Applied Statistics and Data Science 2019-2021), and TUM (2020-2022). INDEX-ONLY claim (LinkedIn enrichment).2022
• Worked as a Machine Learning Engineer at SoftConstruct in Armenia 2019-2021, overlapping his Yerevan State University master's - an actual engineering role predating his quant research. INDEX-ONLY claim (LinkedIn enrichment).2019
• IMO 2014 Armenia team page lists Grigor Keropyan (contestant 24780) among the six-member team; two consecutive IMO appearances (2014, 2015) put him among Armenia's top secondary-school mathematicians of that cohort.Jul 2014