Ronaldas Macas

Data Scientist @ Nasdaq

Biography

Data scientist with expertise in time-series analysis, signal processing, statistical modeling, and machine learning. Previously searched for exploding stars using the most sensitive instrument in the world.

Interests

Machine learning
Statistical modelling
Software development
Gravitational waves

Education

PhD in Astrophysics, 2016-2020
Cardiff University
MSci in Physics and Astronomy, 2011-2016
University of Glasgow

Work Experience

Lead Data Scientist

Nasdaq

May 2024 – Present Vilnius, Lithuania

Responsibilities include:

Developing Generative AI & Machine Learning solutions
Leading high-impact projects, communicating and presenting results to the stakeholders
Advancing AI knowledge via seminars, town halls, hackathons, mentorships, and personalized 1-on-1 guidance

Postdoctoral Research Fellow

Institute of Cosmology and Gravitation

Sep 2020 – Dec 2023 Portsmouth, United Kingdom

Responsibilities include:

Software development in Python, JAX, PyMC, TensorFlow and PyTorch
Leading and training a group of ~30 people to investigate gravitational-wave data quality around astrophysical events
Closely interacting and working with various research groups within the LIGO-Virgo-KAGRA scientific collaboration to build automated gravitational-wave data quality tools
Student supervision
Public outreach

PhD student in Gravitational Physics

Cardiff University

Oct 2016 – Aug 2020 Portsmouth, United Kingdom

Responsibilities include:

Software development in Python and Matlab
Leading and training a group of ~10 people to search for gravitational waves associated with Gamma-ray bursts
Presenting the group’s work within the LIGO-Virgo-KAGRA scientific collaboration, at various seminars and international conferences
Student teaching
Public outreach
Men’s Basketball Club president