Bence Ladóczki

Associate Professor · Department of Telecommunications and Artificial Intelligence, Budapest University of Technology and Economics, 1111 Budapest, Hungary

I conduct research in blockchain engineering and cryptographic protocols at BME University, Hungary, where I am an Associate Professor. I also contribute to quantum chemistry software and build a CCSD(T)-F12 module for MRCC. As a Ph.D. student I worked on the Model Space Quantum Monte Carlo driver of the GELLAN program. I speak Magyar, English, 日本語, 中文 and Русский.

Research Interests

• MEV (Maximal Extractable Value) and CEX-DEX arbitrage on Ethereum
• Ethereum consensus security, single-slot finality, RANDAO
• Payment channel networks, Lightning Network, cross-chain atomic swaps
• Machine learning for blockchain (MEV-Boost auctions, video streaming)
• Explicitly correlated quantum chemistry: CCSD(T)-F12, MP2-F12
• Quantum Monte Carlo methods (MSQMC, FCI-QMC)

Education & Experience

2026–Present

Associate Professor, BME University

2021–2026

Assistant Research Fellow, BME University

2021–2022

Contractor, Ericsson Hungary

2017–2020

Ph.D. in Computer Science, Kobe University

2015–2017

M.Sc. in Computer Science, Kobe University

2013–2014

Internship, Morgan Stanley Hungary

2009–2013

B.Sc. in Electrical Engineering, BME University