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Overview
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Aglaia Eleni Skoullou Lamprou

PhD candidate @ The University of Tokyo
Tsukiji Fish Market,13

Summary

Skoullou Elena, Kazuma Mori , Masahiko Haruno. Dynamic functional connectivity patterns caused by acute stress. Abstracts of the Organization of Human Brain Mapping 2021. Abstract 1362


Skoullou Elena, Kanazawa Hoshinori, Yonekura Shogo, Kuniyoshi Yasuo. Emotionally Evocative Movie Stimuli Elicit Dynamic Brain State Transitions Linking SN, DMN, and CEN. Abstracts at the Society for Neuroscience 2025. Submitted

Overview

7
7
years of professional experience
25
25
years of post-secondary education
4
4
Languages

Work History

Data Scientist

株式会社unerry
, Tokyo
07.2023 - 04.2025
  • Developed ML solutions leveraging large-scale human movement data (GPS, beacon) for location-based analytics. Improved core algorithms including home/office estimation using H3 mesh, log anomaly detection, and store visitation detection.
  • Engineered features for a decision tree model patented in Japan (2025). Collaborated with global partners including Google, Microsoft, and Databricks.
  • Utilized tools such as GCP, BigQuery, Vertex AI, Databricks, TensorFlow, and Tableau to deliver insights and provide alternative data solutions to prospective clients.

Research Assistant

The University of Tokyo
Tokyo, Tokyo
04.2021 - 03.2023
  • Collaborated with Toyota R&D department and ISI lab members, on the emotion mechanism project, under Prof. Yasuo Kuniyoshi, integrating brain imaging data and machine learning.
  • Focused on analyzing emotional responses to naturalistic stimuli (emotional movies) using dynamic functional connectivity.
  • Conducted fMRI data preprocessing, applied unsupervised/supervised learning, and used dimensionality reduction to identify neural patterns.

Scientific Researcher

NICT, CiNet
10.2018 - 03.2021
  • Conducted experimental design and analysis of fMRI, behavioral, and physiological time-series data to study intrinsic brain connectivity under stress.
  • Applied unsupervised and supervised machine learning techniques to identify neural patterns and network dynamics.
  • Work supported by Japan's National Institute of Communications Technology (NICT)and CREST, contributing to advanced research on stress-related brain function.

Education

Ph.D. - Information Science and Technology

The University of Tokyo
Bunkyo, Tokyo
05.2021 - 12.2026

Master of Science - Behavioral Computational Neuroscience

Osaka University
Suita, Osaka
05.2018 - 09.2020

Integrated Master's Degree - Applied Mathematical And Physical Sciences

National Technical University of Athens
Zografou, Athens, Greece
04.2001 - 09.2018

Skills

  • Japanese Government (MEXT scholarship) embassy recommendation 2018-2021 for graduate studies in Japan

  • Artificial Intelligence Project Challenge 2020 Dynamic connectivity patterns of acute stress using unsupervised learning methods

Timeline

Data Scientist

株式会社unerry
07.2023 - 04.2025

Ph.D. - Information Science and Technology

The University of Tokyo
05.2021 - 12.2026

Research Assistant

The University of Tokyo
04.2021 - 03.2023

Scientific Researcher

NICT, CiNet
10.2018 - 03.2021

Master of Science - Behavioral Computational Neuroscience

Osaka University
05.2018 - 09.2020

Integrated Master's Degree - Applied Mathematical And Physical Sciences

National Technical University of Athens
04.2001 - 09.2018

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Aglaia Eleni Skoullou LamprouPhD candidate @ The University of Tokyo