Date: 7th November, 2023
Time: 12.00 PM CET
Duration: 1 hour
Join us for a webinar on solving the technical challenges in computational research by Dr. Nikita Kazeev, a research fellow at the National University of Singapore. He is part of the team of researchers under the Noble Laureate Prof. Konstantin Novoselov and has a wealth of experience in running computational research projects, from one-notebook sketches to crunching terabytes of data at CERN.
In this webinar, we will explore the success strategies that you can implement when doing computational research. Very often a computational research project evolves into a software engineering one. The latest paper by the team of researchers led by Prof. Novoselov is a recent example of this. The core idea of the paper was invented and tested in about a week. All the remaining 1,5 years went into writing the code to generate the data, writing the code to process it, writing the code to implement baselines, writing the code to do hyperparameter search, resolving data storage issues and then running, debugging and re-running on several different HPC platforms.
Join this webinar to gain insights into the strategies for conducting computational research quicker and with less manual labour. Learn how to tackle the technical challenges, followed by an interesting example from a real-world project on the Constructor Research Platform.
Effective strategies for computational research: Finding the optimal computational resources to run your code and choosing the right data management tools for your project.
Streamlining reproducibility of research: How to make a project easily reproducible by other researchers.
Concrete achievements of Machine Learning that are transforming natural science
Technology and tools: Demo of the Constructor Research Platform.
Q&A session: Participants will have the opportunity to ask questions throughout the presentation and seek clarification on any of the discussed topics.
Daria is a Senior Product Manager at Constructor Technology, working on the development of the Research Platform. She is a physicist with a background in Quantum Information Technology and Quantum simulations research, she brings expertise in both theoretical and applied aspects of the science. Daria also holds a master's degree in Computer Science from the National University of Singapore.
Dr. Nikita Kazeev is a research fellow at the National University of Singapore. He is part of the team of researchers under the Noble Laureate Prof. Konstantin Novoselov and has a wealth of experience in running computational research projects, from one-notebook sketches to crunching terabytes of data at CERN.
Computational Researchers & Scientists: Professionals and students involved in computational studies seeking to streamline their research processes and overcome technical challenges.
Software Engineers in Academia: Those who often collaborate with research teams and need to understand the complexities and unique demands of computational research projects.
High-Performance Computing (HPC) Specialists: Individuals specializing in HPC who want to gain insights into best practices for running large-scale computational research projects on multiple platforms.
Project Managers & Research Coordinators: Professionals who oversee research projects and want to understand the intricacies of computational projects, ensuring efficient and timely completion.
Postgraduate Students & Early Career Researchers: Those starting their careers in computational research fields who wish to gain insights and best practices from experienced professionals in the domain.