Farbod Ekbatani

Final-year PhD student in Management Science / Operations Research at The University of Chicago Booth School of Business, advised by Rene Caldentey and Rad Niazadeh. Research spans operations, economics and computer science, focused on online resource allocation, marketplace matching and platform market design. Undergraduate degree in Computer Engineering from Sharif University of Technology, Iran; MSc in Finance and Economics from the London School of Economics.

Notes7

• Quant employment verification: CONFIRMED. Farbod Ekbatani completed a Quantitative Trader Internship at Jane Street (London, UK), Jun-Sep 2021, per his own CV ('Jane Street, UK, Jun 2021 - Sep 2021, Quantitative Trader Intern') and corroborated by LinkedIn enrichment ('Jane Street, Jul 2021 - Sep 2021, 3 months, Greater London'). Jane Street is a quantitative proprietary trading firm / market maker (verified from janestreet.com: 'a global trading firm... liquidity provider'). Identity is supported by multiple corroborating sources: personal site farbodekbatani.github.io, LinkedIn, Chicago Booth faculty page, CV, and publications. The role is an INTERNSHIP, not a full-time position. Other listed roles are NOT quant finance: Oracle GBU (Research Assistant Intern, enterprise software/cloud) and IST Austria (Research Intern, academic institute).Sep 2021
• Jane Street internship was a 3-month summer role (CV: Jun 2021 - Sep 2021; LinkedIn: Jul 2021 - Sep 2021, Greater London), consistent in timing with his LSE MSc (Sep 2020 - Jun 2021), indicating a London-based summer internship between the LSE and Booth stages.
• Won IMO Silver Medal 2015 and IMO Bronze Medal 2016 representing Iran, per his CV; APMO Silver 2015 and Iranian National Mathematical Olympiad Gold 2015 and 2014, and IMC 2014 Silver (2nd runner-up team).
• Education trajectory: PhD Management Science & Operations Management, Univ. of Chicago Booth (Sep 2021 - Jun 2027, nearing completion in final year); MSc Finance & Economics (Distinction) LSE (Sep 2020 - Jun 2021); BSc Computer Engineering, Sharif University of Technology, Iran (Sep 2016 - Aug 2020, GPA 19.05/20).Sep 2026
• He is on the 2026-2027 academic job market (per personal site), presenting talks at INFORMS 2026 and WORDS (Fuqua) in late 2026.Sep 2026
• Research collaboration with Lyft on 'Non-Exclusive Notifications for Ride-Hailing' (two-part paper), an industry partnership rather than employment.Aug 2026
• Research internship at IST Austria, Jun-Aug 2019, co-authoring a Nature Communications 2023 paper ('Quantitative Assessment can Stabilize Cooperation via Indirect Reciprocity under Imperfect Information') with Laura Schmid, Christian Hilbe and Krishnendu Chatterjee; an academic research institute, not finance.Aug 2019
• Awarded the J. Michael Harrison Doctoral Prize (2025) and the Sudipto Bhattacharya Scholarship (LSE); MSOM Student Paper Competition Finalist (2026) and George Nicholson Student Paper Competition Honorable Mention (2025).
• Public contact email published on his CV and personal site: [contact omitted].
• Named inventor on US patent application 19/079,626 'Machine Learning Based Overbooking Limit Optimization' (with Andrew Vakhutinsky et al.), filed 2026.2026
• Publication: 'A Stochastic Growth Model for Online Platforms' (with Rene Caldentey) - in EC 2025 proceedings, major revision at Management Science.2025
• Research internship at Oracle GBU (Massachusetts), Jun-Sep 2023, titled Research Assistant Intern - an enterprise software/cloud firm, not a quantitative finance employer.Sep 2023