Aleksandros Sobczyk

Overview

Pronouns

He/Him/His

Location

IBM Research Europe - Zurich Zurich, Switzerland

Bio

Aleksandros received his Diploma of Engineering and MSc from the Computer Engineering and Informatics Department of the University of Patras, Greece. He joined IBM Research - Zurich in June 2017 as an intern and later as a software engineer. He has worked for various projects but most prominently for IBM RXN for Chemistry. Since December 2021 he is pursuing a PhD in a collaboration between IBM Research and ETH Zurich. He is interested in Algorithms for Data Science, Scientific Computing and HPC, with applications in Material Science and Simulations.

Publications

DFT calculations: Complexity, stability, and quantum advantage
- - Aleksandros Sobczyk
- 2024
- ACS Spring 2024
Increasing the adoption of machine learning technologies by chemists with graphical and programmatic interfaces
- - Alain Vaucher
  - Matteo Manica
  - et al.
- 2023
- ACS Spring 2023
Towards provably accurate and globally applicable linear-scaling ab initio methods
- - Aleksandros Sobczyk
- 2023
- ACS Spring 2023
Large scale density estimation with polynomial expansions and Johnson-Lindenstrauss transformations
- - Aleksandros Sobczyk
  - Teodoro Laino
  - et al.
- 2022
- ACS Fall 2022

Visit Google Scholar

Patents

- 25 Dec 2023
- US
- 11854670
Running Multiple Experiments Simultaneously On An Array Of Chemical Reactors
- 09 Aug 2021
- US
- 11086861
Translating A Natural Language Query Into A Formal Data Query
- 02 Nov 2020
- US
- 10824788
Collecting Training Data From Tex Files

Projects

AI for Scientific Discovery

Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation

Lab that Learns

Leveraging AI foundation models and multi-cloud computing to usher in a new era of reproducible and collaborative experimentation for scientific discovery.

View more projects

Top collaborators

Teodoro Laino

Distinguished RSM, Manager

Matteo Manica

Senior Research Scientist