Elia Zonta

Mathematics & Computer Science MIT (incoming)  · EPFL  ·  Oxford  ·  Cornell  
Contact Me
Elia Zonta

Abstract

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My main interest is the intersection between mathematics and computer science, where theory meets computation.

Started from the keen research of efficiency and performances through HPC and GPU methods and pivoted into theoretically heavier studies on stochastic processes, statistics and ML.

Former swimmer. Math brain. Now chasing alpha.

Education

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Massachusetts Institute of Technology
Cambridge, MA
(incoming) M.S. Applied Mathematics — Operations Research & Machine Learning
Graduate researcher under the supervision of Prof. Tomaso Poggio, focusing on the mathematics of deep learning and theory of intelligence.
University of Oxford
Oxford, UK
Summer School on Financial Networks and Economic Complexity.
Focused on the intersection of network science, financial theory and systemic risk.
Polytechnic University of Turin
Turin, Italy
M.S. Applied Mathematics — Mathematical Engineering
Coursework: Stochastic Processes, Computational Statistics, Deterministic & Stochastic Optimization.
Cornell University & University of Trento
Ithaca, NY — Trento, IT
B.S. Computer Science & Engineering
Tuition merit & Research Thesis scholarship. Attended MS/PhD level computer science and math courses as a 1st & 2nd year undergraduate.

Experience

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Research Assistant
Lausanne, Switzerland
EPFL — Anthropic-funded project
Quantitative Researcher & Developer
Ithaca, NY, USA
Cornell Quant Fund
Built a fully automated sports arbitrage system using Python, Selenium, and statistical modeling to scrape real-time odds from 5+ major sportsbooks, detect market inefficiencies, and execute 200+ monthly trades with a 6.2% theoretical ROI.

Selected Projects

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Auto-Deleveraging Simulation on BTC May 2021 Flash Crash
2026
Simulation of the auto-deleveraging cascade triggered by the May 2021 flash crash on the Bitcoin market. Custom simulator for margin trading and auto-deleveraging mechanisms, focusing on replicating the dynamics of the event and analyzing systemic risk implications. Implemented in Python with detailed documentation and visualizations.
View Repository ↗

Awards

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Cornell ICPC participant 2024
Outstanding Research Thesis Scholarship - Cornell University 2024
Tuition Merit Award - UniTn & Cornell University 2022 – 2024
Math Olympiad — National Finalist 2020, 2021

Technical Profile

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Languages, Frameworks & Tools

Python (PyTorch, JAX)

C/C++ (CUDA, OpenGL)

SQL

Git, Linux, Docker

...

Spoken Languages

Italian (native)

English (fluent)

Spanish (fluent)

French (basic)

German (basic)

Contacts

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Email elia.zontaa@gmail.com LinkedIn @eliazonta GitHub @eliazonta X @happyeliia SubStack @eliazonta