Elioth Sanabria
Chief Scientist and Founder of Staffing Analytics.
See my most recent CV
Hi, my name is Elioth, I’m a research scientist with a PhD in Operations Research from Columbia University IEOR Department. Currently, I’m working on multiple projects applying Operations Research to solve real world problems with state-of-the-art solutions. I founded Staffing Analytics, created the retail analytics plafform Predictheus and the data fusion platform EOS Intel.
Before this, I served in the NYC Government as Assistant Commissioner of Operations Research for the NYC Department of Correction solving a lot of logistical optimization problems (including supply chain problems, transportation optimization, staff scheduling and so on). I also served as Deputy Director of Operations Research for the Fire Department of New York City (FDNY), working on ambulance scheduling to minimize response times. This work was derived from my PhD thesis advised by Professors David D. Yao and Henry Lam.
While I have eclectic research interests, the common thread is a deep emphasis in technical correctness, practical applications and maximizing the positive impact for society by applying Operations Research.
news
| Dec 04, 2025 | I am teaching a class in Supply Chain Analytics this coming Spring 2026 at the Columbia University IEOR Deparment. |
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| Aug 11, 2025 | I placed as Finalist in the U.S. Army xTechLive Competition “Software-based AI-powered fusion engine” DEF CON 33, 2025. |
latest posts
| Oct 14, 2025 | Algebra and Optimization for Robotic Arms |
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| Aug 24, 2025 | Morse, Little, Rikers and Beyond |
selected publications
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Hospital load balancing: A data-driven approach to optimize ambulance transports during the COVID-19 pandemic in New York CityManagement Science (Major Revision), 2022 -
Predicting healthcare-associated infections, length of stay, and mortality with the nursing intensity of care indexInfection Control & Hospital Epidemiology, 2022 -
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Short-term adaptive emergency call volume predictionIn 2021 Winter Simulation Conference (WSC), 2021 -
Minimizing Misclassification Cost in Healthcare Associated InfectionManagement Science (R&R), 2019 -