Aldo Pacchiano

Aldo Pacchiano is an Assistant Professor in the Faculty of Computing & Data Sciences at Boston University and an Eric and Wendy Schmidt Fellow at the Broad Institute of MIT and Harvard. Originally from Mexico City, he earned a PhD in Computer Science at UC Berkeley (2021) advised by Peter Bartlett and Michael Jordan, after doctoral study in Operations Research at Princeton and degrees at MIT (BS, MEng) and Cambridge (MASt). He was a postdoctoral researcher at Microsoft Research NYC and held research internships at Google Research, Google Brain, DeepMind London, and Facebook AI Research. His research spans reinforcement learning, online learning, bandits, and algorithmic fairness.

Notes3

• Quant employment verification: UNRESOLVED. The saved research did not establish a single unambiguous supported employment verdict. Existing employment claims and source qualifications are retained above; conflicting earlier assessments are superseded by this unresolved status. This is a review of the saved research, not new independent employment evidence.
• CV 'Research Work Experience' lists only research internships/roles: Microsoft Research (postdoc 2021-), Facebook AI Research visiting (2019-2021), Microsoft Research intern (05-08/2020), Google Research intern (05-08/2019), DeepMind London intern (2018-2019), Google Brain intern (05-08/2019). No quantitative-finance or trading role appears in the self-authored CV.Dec 2023
• CV (self-authored, Microsoft Research era) lists contact email [contact omitted] and personal site www.aldopacchiano.ai.Dec 2023
• Education per own CV: MIT B.S. Mathematics & Computer Science 2008-2012; Cambridge MASt Mathematics 2012-2013 (essay 'Mixing Time of Random Transpositions', examiner Nathanael Berestycki); MIT MEng EECS 2013-2014 (thesis 'Trace Reconstruction Problem', advisor Constantinos Daskalakis); Princeton PhD Operations Research & Financial Engineering 2015 (transferred); UC Berkeley PhD Computer Science 2016-2021 (thesis 'Model Selection for Contextual Bandits and Reinforcement Learning', advisors Peter Bartlett and Michael Jordan).Dec 2023
• BU CDS faculty profile states he is originally from Mexico City, PhD at UC Berkeley advised by Peter Bartlett and Michael Jordan, postdoc at Microsoft Research NYC, joined BU in 2024 after a one-year appointment at the Broad Institute of MIT and Harvard; research in reinforcement learning, online learning, bandits, and algorithmic fairness.2024
• Fellowships and Awards (CV): 2021 Funded BAIR Commons Partnership (Facebook AI Research + Berkeley AI Research Lab), project 'Mitigating Emergent Biases in Online Learning'; 2020 Funded BAIR Commons Partnership (Google + BAIR).Dec 2023