RESEARCHED WITH AUTUMN
Hossein Dabirian
Ph.D. Candidate, EECS, University of Michigan; former Quantitative Researcher (algorithmic trading) and IMO 2009 silver medalist
University of Michigan ·
Ann Arbor, Michigan, United States · academic
Applied ProbabilityQueueing TheoryStochastic NetworksMatching MarketsMechanism DesignRandom GraphsBandit AlgorithmsMachine LearningAlgorithmic TradingApplied probabilityQueueing theoryStochastic networksMatching marketsMechanism designBandit algorithms
- Quant employment verification: CONFIRMED. His personal academic site's Experience section lists an actual role, 'Quantitative Researcher, Tosan Ofogh Hezareh, Tehran, Jan 2017 - Aug 2019', described as 'Developed the first algorithmic trading system in Iran for stock and bond portfolios' - i.e. systematic/algorithmic trading work. Employer classification: Tosan Ofogh Hezareh is an Iran-based investment and financial advisory firm (Crunchbase: 'offers investment analysis, asset, and portfolio management services') and is listed among Iran's hedge-fund companies (ensun.io); its LinkedIn describes it as a research company working on economic-management strategies. Identity is supported: dabirian.github.io links the same LinkedIn URL and the umich.edu email, and records the IMO 2009 silver medal matching this profile. An actual past role in algorithmic trading is documented, so the claim is CONFIRMED.2026
- Ph.D. in Electrical & Computer Engineering at the University of Michigan (2021-present), advised by Prof. Saif Benjaafar and Prof. Brian Denton, on applied probability, queueing theory, stochastic networks and mechanism design, supported by a 2021 ECE Departmental Fellowship.2021
- Won a silver medal at the 2009 International Mathematical Olympiad (Bremen) representing Iran, scoring 24 points (rank 130); his personal site also records a gold medal and 1st rank at Iran's 2008 National Mathematical Olympiad.2009
- Worked as a Machine Learning Intern at Roku Inc. (San Jose, CA) in summers 2022 and 2023 on popularity-score ranking for genre rows and multi-armed bandit algorithms for personalized parameter tuning - an industry ML role distinct from the Tosan algorithmic-trading work.2023
- The Tosan Ofogh Hezareh quant-researcher stint (Jan 2017 - Aug 2019) sits after his Paris M.Sc. (2014-2016) and before his Michigan Ph.D. (2021-): a ~2.5-year industry role in Tehran bracketed by academic training rather than a student program, which is why it counts as employment for verification.2019
- Served as Head of Iran's IMO Training Camp at the Young Scholars Club, Tehran, Sep 2013 - Jul 2014, training and preparing Iran's team - an early teaching/mentoring role before graduate study abroad.2014
- Presented work at INFORMS Annual Meeting 2025, INFORMS APS 2025, and the Marketplace Innovation Workshop 2026, with upcoming talks at MSOM 2026 (Harvard Business School) and INFORMS RMP 2026 - indicating active, current research output through 2026.2026
- Title discrepancy: his self-authored site titles the Tosan role 'Quantitative Researcher', while the index/aggregator lead gave 'Quantitative Analyst' for the same Jan 2017 - Aug 2019 role; the self-authored site is used as authoritative and the union recorded.2026
- Author of research papers including 'Naor Revisited: Two-Sided Queues with Strategic Agents' (with Afeche, Akan, Benjaafar, Denton), 'Connectivity of a Family of Bilateral Agreement Random Graphs' (Journal of Applied Probability, with Subramanian), and 'Automatic Classification of Deformable Shapes' (Journal of Mathematical Imaging and Vision).2025
- Education path: B.Sc. in Mathematics (Physics minor), Sharif University of Technology, Tehran (2009-2013); M.Sc. in Pure Mathematics, Paris Diderot University (2014-2016) on a PGSM Scholarship.2016
- Name disambiguation: a second, distinct LinkedIn profile ('hossein-dabirian-70080389', index person id 569532450) coexists with this target (person id 405614005, linkedin 'hossein-dabirian-9b3105153'); they are different people and are noted here to avoid conflation.2026
- Listed among former members of Vijay Subramanian's research group at the University of Michigan, corroborating a Subramanian co-authorship and his Michigan affiliation.2026
Experience
Quantitative Researcher at Tosan Ofogh Hezareh
Tehran, Iran
Developed the first algorithmic trading system in Iran for stock and bond portfolios.
Machine Learning Intern at Roku Inc.
San Jose, CA
Popularity-score ranking for genre rows; multi-armed bandit algorithms for personalized parameter tuning.
Head of Iran's IMO Training Camp at Young Scholars Club
Tehran, Iran
Trained and prepared Iran's team for the International Mathematical Olympiad.
Research Assistant at University of Michigan
Ann Arbor, Michigan, United States
Ph.D. research in applied probability, queueing theory, stochastic networks and mechanism design.
Education
University of Michigan, Ann Arbor
Ph.D. in Electrical & Computer Engineering
Paris Diderot University, France
M.Sc. in Pure Mathematics
Sharif University of Technology, Tehran
B.Sc. in Mathematics (Minor in Physics)
AchievementsSilver medal, IMO 2009 (Iran), 24 pts, rank 130 · Gold medal & 1st rank, Iran National Mathematical Olympiad 2008 · Developed the first algorithmic trading system in Iran for stock and bond portfolios (Tosan Ofogh Hezareh, 2017-2019) · Ph.D. candidate, EECS, University of Michigan (2021-present)
Articles
Talks
Awards2021 Departmental Fellowship, University of Michigan ECE · 2014 PGSM Scholarship for Master's in Mathematics, Paris · 2009 Silver Medal, International Mathematical Olympiad (Bremen) · 2008 Gold Medal & 1st Rank, National Mathematical Olympiad, Iran
Profiles
Competition record
Islamic Republic of Iran · IMO