CV
Basics
| Name | Ioannis Koutalios |
| jkoutalios@gmail.com | |
| Phone | +30 6989855203 |
| Url | https://koutalios.space/ |
Work
- MAR 2024 - Present
Data Analyst
Data Analyst at Sensorfact, a company that provides energy monitoring solutions for businesses. - MAR 2022 - JUN 2024
Graduate Student Researcher
Graduate Student Researcher at the Leiden Observatory, working as part of different research teams and projects in the fields of Cosmology, Exoplanets and Reinforcement Learning.FEB 2024 - JUN 2024Teaching Assistant for the course 'Reinforcement Learning' (M.Sc.)
Teaching Assistant for the Master level course 'Reinforcement Learning' at the Computer Science department of Leiden University.FEB 2023 - JUN 2024Teaching Assistant for the course 'Science and the Public' (M.Sc.)
Teaching Assistant for the Master level course 'Science and the Public' at the Astronomy department of Leiden University. for two academic years (spring semester 2023 and 2024).FEB 2024 - JUN 2024Teaching Assistant for the course 'Astronomy Lab and Observing Project' (B.Sc.)
Teaching Assistant for the Bachelor level course 'Astronomy Lab and Observing Project' at the Astronomy department of Leiden University. As a TA, I was responsible for the supervision of the students during the observations at the Isaac Newton Telescope in La Palma, Spain. - SEP 2019 - NOV 2020
Undergraduate Student Researcher
Undergraduate Student Researcher at the Gravitational Wave Group of the Physics department of Aristotle University of Thessaloniki. My research focused on the spectral classification of neutron star post-merger gravitational wave emission.FEB 2018 - JUN 2020Grading Assistant for the course 'Astronomy and Astrophysics' (B.Sc.)
Grading Assistant for the Bachelor level course 'Astronomy and Astrophysics' at the Physics department of Aristotle University of Thessaloniki. I was responsible for the grading of the students' homework and exercises.
Education
Publications
-
2025.11.05 The resummation model in FLAMINGO: precisely predicting matter power suppression from observed halo baryon fractions
Monthly Notices of the Royal Astronomical Society
-
2024.09.05
Research
- SEP 2023 - JUN 2024
M.Sc. Thesis Project: Applying a cross-power model for power suppression in FLAMINGO
Supervisor: Dr. Marcel van Daalen
- OCT 2023 - FEB 2024
Model-Free Reinforcement Learning for Sensorless Adaptive Optics
Supervisor: Dr. Rico Landman, Dr. Thomas Moerland, Dr. Aske Plaat
- FEB 2022 - DEC 2022
M.Sc. Thesis Project: Finding the best exoplanets to search for exomoons by radial velocity
Supervisor: Dr. Matthew Kenworthy
- SEP 2019 - SEP 2020
B.Sc. Thesis Project: Spectral Classification of Neutron Star Post-Merger Gravitational Wave Emission
Supervisor: Dr. Nikolaos Stergioulas
Conferences
-
18-20 NOV 2024
Utrecht
The NetherlandsBNAIC(36th)/BeNeLearn(33rd) 2024: Joint International Scientific Conferences on AI and Machine Learning
Utrecht University
Poster presentation of the research project: Model-Free Reinforcement Learning for Sensorless Adaptive Optics.
-
13-15 MAY 2024
Egmond aan Zee
The Netherlands79th Dutch Astronomers' Conference
Anton Pannekoek Institute for Astronomy
Poster presentation of the M.Sc. Thesis Project: Applying a cross-power model for power suppression in FLAMINGO.
-
15-17 MAY 2023
Leeuwarden
The Netherlands -
26-28 MAY 2020
10-14 MAY 2021
23-25 MAY 2022
15-17 MAY 2023
18-20 APR 2024
Virtual
-
9-13 MAR 2020
Valetta, Malta
-
13-15 NOV 2019
Tuebingen
GermanySchool on Neutron Star Physics in the Era of Gravitational Waves Astronomy
Eberhard Karls University of Tuebingen
-
8-11 JUL 2019
Volos, Greece
-
8-12 OCT 2018
Thessaloniki
Greece3rd HEL.A.S. Summer School and DAAD School on Neutron Stars and Gravitational Waves
Aristotle University of Thessaloniki
-
15-18 ΜΑΡ 2018
Thessaloniki
Greece
Volunteer
-
JUN 2015 - AUG 2023 Volos, Greece
Instructor for the preparation of the Greek Team for the International Olympiad on Astronomy and Astrophysics
Greek Team for the International Olympiad on Astronomy and Astrophysics
I have been teaching the students the theoretical and practical aspects of Astronomy and Astrophysics, as well as the necessary skills for the competition. The preparation includes lectures, exercises, and exams and takes place during the summer months.
-
FEB 2018 - JUN 2021 Thessaloniki, Greece
Public Outreach Guide at the Astronomical Observatory of the University
Aristotle University of Thessaloniki
As a public outreach guide, I was responsible for the organization and execution of the public events at the Astronomical Observatory of the University. The events include public observations, lectures, workshops and school visits.
Awards
- 2015-2019
Scholarship from Cosmote for undergraduate studies
Cosmote
Awarded a scholarship for my undergraduate studies in Physics at Aristotle University of Thessaloniki.
- 2015
Honorable Mention in the 9th International Olympiad on Astronomy and Astrophysics
IOAA
Awarded an Honorable Mention in the 9th International Olympiad on Astronomy and Astrophysics.
- 2014
Participation in the 8th International Olympiad on Astronomy and Astrophysics
IOAA
Participated in the 8th International Olympiad on Astronomy and Astrophysics.
Skills
| Core Programming & Cloud | ||
| Python | ||
| SQL | ||
| AWS | ||
| Git (GitHub & GitLab) | ||
| Linux |
| Machine Learning | ||
| PyTorch | ||
| TensorFlow | ||
| Keras | ||
| Scikit-learn | ||
| JAX |
| Data Science | ||
| Pandas | ||
| NumPy | ||
| Matplotlib | ||
| Seaborn | ||
| SciPy |
| Infrastructure & Tools | ||
| Prefect | ||
| Grafana | ||
| Bash | ||
| SSH | ||
| Docker |
Languages
| Greek | |
| Native speaker |
| English | |
| C2 |
| German | |
| B1 |
| Dutch | |
| Beginner |
Interests
| Artificial Intelligence | |
| Machine Learning | |
| Deep Learning | |
| Reinforcement Learning | |
| Neural Networks | |
| Natural Language Processing | |
| Generative Models | |
| Optimization | |
| Probabilistic Graphical Models | |
| AI Ethics | |
| AI in Healthcare | |
| AI in Finance | |
| AI in Energy | |
| AI in Astronomy/Astrophysics | |
| AI for Social Good |
| Data Science | |
| Data Analysis | |
| Data Visualization | |
| Statistical Inference | |
| Data Mining | |
| Data Cleaning | |
| Data Driven Decision Making | |
| Predictive Modeling | |
| Big Data | |
| Time Series Analysis | |
| Bayesian Statistics | |
| Hypothesis Testing | |
| Data Science in Astronomy/Astrophysics | |
| Data Science for Business | |
| Data Science for Social Good |
| Astrophysics/Astronomy | |
| Gravitational Waves | |
| Neutron Stars | |
| Black Holes | |
| Compact Objects | |
| High Energy Astrophysics | |
| Cosmology | |
| Large Scale Structure | |
| Exoplanets | |
| Exomoons | |
| Data Science in Astronomy | |
| Machine Learning and A.I. in Astronomy |
| Hobbies | |
| Chess | |
| Science Communication | |
| Reading | |
| Hiking | |
| Cycling | |
| Cooking | |
| Traveling | |
| Movies/TV Series | |
| Board/Video Games |
References
| Professor Nikolaos Stergioulas | |
| Email: niksterg@auth.gr | |
| Phone: +30 2310998233 | |
| Website: link |
| Professor Marcel van Daalen | |
| Email: daalen@strw.leidenuniv.nl | |
| Phone: +31 715275812 | |
| Website: link |
| Professor Matthew Kenworthy | |
| Email: kenworthy@strw.leidenuniv.nl | |
| Phone: +31 715278455 | |
| Website: link |
| Professor Thomas Moerland | |
| Email: t.m.moerland@liacs.leidenuniv.nl | |
| Phone: +31 715274799 | |
| Website: link |