Dr. Panagiotis Symvoulidis

Angestellt, Research Scientist, Helmholtz Zentrum München
München, Germany

Fähigkeiten und Kenntnisse

biophotonics
Neuroscience
Microscopy
Imaging
Medical Imaging
Deep Learning
High Performance Computing (HPC)
fluorescence
image analysis
Data Science
Visualizations
Project Management
Fundraising
Team leadership
Stakeholder Management
System Integration
Control
Stakeholdermanagement
Physics
Data Analysis
Python
Statistics
Research and Development
LabVIEW
MatLab
Deep learning
Linux
Artificial intelligence
Digital-Imaging
Automation
Machine Learning
Software Development
Fluorescence microscopy
Systems
Platform

Werdegang

Berufserfahrung von Panagiotis Symvoulidis

  • Current 7 years and 7 months, since Dec 2018

    Research Scientist

    Massachusetts Institute of Technology

    Pioneered optical electrophysiology on human brain organoids and secured ~$2.5M for follow-up studies. Built SCAPE-like light-sheet microscopes for zebrafish neuroscience and accelerated voltage imaging pipelines >100x using HPC. Co-ordinated Deep Learning frameworks for real-time light-field reconstruction and mentored ~10 students

  • Current 10 years and 6 months, since Jan 2016

    Research Scientist

    Helmholtz Zentrum München

    Engineered a real-time tracking microscope for neuroimaging freely moving zebrafish, using galvanometric mirrors and IR-feedback control. Led behavioral pharmacology studies to assess in vivo neurodynamics under various compound conditions. Developed Python/MATLAB pipelines for high-throughput image registration and calcium signal extraction. Built high-speed volumetric imaging platforms (Light Field/Light Sheet) tailored for dynamic biological samples.

  • Current

    PhD Candidate

    Helmholtz Zentrum Μünchen

  • 4 years and 8 months, May 2011 - Dec 2015

    PhD Candidate

    Technische Universität München

    Advanced intraoperative fluorescence imaging research, applying quantitative tissue optics to improve probe localization. Performed Monte Carlo/FEM light simulations, validated against phantom and biological tissue datasets. Engineered an automated cryoslicing system that became the gold-standard validation tool for optoacoustic studies. Led data analysis and visualization, collaborating with clinical and industry partners to drive experimental strategy.

Sprachen

  • English

    C1 (Fließend)

  • German

    B1-B2 (Gute Kenntnisse)

  • French

    A1-A2 (Grundkenntnisse)

  • Greek

    C2 (Verhandlungssicher / Muttersprachlich)

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