Aleksandr Efremov

Aleksandr Efremov is a quantitative researcher and algorithm developer at Hudson River Trading since November 2022. Previously, Aleksandr served as a machine learning research engineer at Neuralink, focusing on brain-computer interfaces, and held roles as a quantitative research intern at Squarepoint Capital and Jump Trading LLC. Aleksandr's experience includes a software engineer internship at Google, where involvement in Swift for TensorFlow contributed to advanced deep learning systems. Aleksandr also interned at the Max Planck Institute for Software Systems, publishing research on reinforcement learning, and worked at CERN on an automatic differentiation tool integrated into ROOT for high-performance scientific computing. An educational background includes a master's degree in Neural Systems & Computation from ETH Zürich and a bachelor's degree in Computer Science from the Faculty of Information Technology at CTU in Prague.