VQVictor Quach
New York, New York, United States · engineer
Victor Quach is an engineer and machine-learning researcher. According to an index-backed LinkedIn profile (index-only, not independently confirmed by a primary source), he works as an Algorithm Developer at Hudson River Trading in New York in quantitative research / high-frequency stock trading, and interned there in 2022. Identity is supported by primary sources: an IMO 2012 participant page listing Victor Quach for Luxembourg, an MIT CSAIL people page, a personal site (quach.io), and the handle Varal7 across GitHub/X. He holds a PhD in Computer Science from MIT CSAIL advised by Regina Barzilay (2017-2023) and a Master's in Mathematics and Computer Science from Ecole polytechnique (X2014). His research includes Blank Language Models (EMNLP 2020) and Conformal Language Modeling (ICLR 2024), with earlier research/engineering internships at Facebook's PyTorch Core Team (2021) and IBM Research (2020).
- Quant employment verification: UNRESOLVED. The only employment evidence is an index-backed LinkedIn profile listing Hudson River Trading as Algorithm Developer (2023-present) and Algorithm Developer Intern (2022) - i.e. index/aggregator-derived, not independent primary-source confirmation, and no HRT primary source naming him was read. Identity is well supported across primary sources (IMO 2012 Luxembourg participant page, MIT CSAIL people page, personal site quach.io, GitHub/X handle Varal7, MIT PhD). Employer classification: Hudson River Trading is a real high-frequency/quantitative trading firm (verified from its own site hudson-trading.com), so the employer IS a quant-finance firm - but the role claim itself rests on index-only data and is therefore not CONFIRMED. No student program, competition, insight day, camp, scholarship, or incoming offer is being counted as employment. Retain as uncertain pending a primary HRT or authored source.Sep 17, 2026
- Algorithm Developer at Hudson River Trading (quantitative research / high frequency, trades stocks) since 2023, per LinkedIn-indexed profile; identity anchored by headline 'Algo Dev @ HRT | PhD in Machine Learning'.
- PhD in Computer Science from MIT (2017-2023) and Master's in Mathematics and Computer Science from École polytechnique (2014-2019).
- Prior to HRT: internships at Facebook (PyTorch Core Team, 2021) and IBM Research (2020), plus research internships and TA roles at MIT CSAIL and ENS Paris.
- IMPORTANT: IMO 2012 participant page (imo-official.org id=21547) confirms a Victor Quach competing for Luxembourg - a primary-source identity anchor that matches the MIT PhD and X2014 trajectory, though the page alone does not tie to HRT.2012
- MIT CSAIL people page lists him as a PhD student in the Regina Barzilay group, consistent with the 2017-2023 MIT Computer Science PhD.
- Personal site quach.io is a minimal single-page landing with no resume/CV or role listing, so it neither confirms nor contradicts current employment.Sep 17, 2026
Quantitative Research; high frequency; trades stocks
Quantitative Research
Improved autograd engine performance by 16%; designed saved-tensor hooks API
Training scheme for Transformers beyond training-length context
TA for 6.86x and 6.883
ML research, advised by Regina Barzilay
Deep Logic: hierarchical neural architectures on logical reasoning
Competition record
Luxembourg · IMO