Yulia Dembitskaya
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Yulia Dembitskaya Email & Phone Number

Location: Paris, ÎLe-De-France, France 8 work roles 4 schools
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Role
Researcher
Location
Paris, ÎLe-De-France, France
Company size

Who is Yulia Dembitskaya? Overview

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Yulia Dembitskaya is listed as Researcher at Universitätsmedizin Göttingen, a with 1644 employees, based in Paris, ÎLe-De-France, France. AeroLeads shows a matched LinkedIn profile for Yulia Dembitskaya.

Yulia Dembitskaya previously worked as Chercheur Scientifique at University De Bordeaux and Scientific Researcher at Université De Bordeaux. Yulia Dembitskaya holds Doctor Of Philosophy - Phd, Physiology, General from Kazan State University, Russia And Riken Brain Science Institute, Japan.

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Email format at Universitätsmedizin Göttingen

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Universitätsmedizin Göttingen

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Profile bio

About Yulia Dembitskaya

I am a researcher with over 12 years of experience in neuroscience, neurodegenerative diseases, and brain oncology. I have published over 20 research papers. Since the beginning of my career, I have been on a journey to improve treatments of human diseases. On this path, I developed a deep knowledge of brain physiology at the molecular and systemic level, sharp analytic and project management skills. To have an impact beyond the academic environment, I am open to opportunities in management and consulting within Life Sciences industry.

Listed skills include Neuroscience, Neurophysiology, Biophysics, Fluorescence Microscopy, and 2 others.

Current workplace

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Universitätsmedizin Göttingen
Universitätsmedizin Göttingen
Researcher
Göttingen, NDS, DE
Website
Employees
1644
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8 roles

Yulia Dembitskaya work experience

A career timeline built from the work history available for this profile.

Scientific Researcher

Bordeaux, Nouvelle-Aquitaine, France

Developing AI-based tools to explore biological questions in neuroscience, particularly focusing on brain diseases and oncology to facilitate efficient data analysis and discovery of novel insights, accelerating research progress. Pioneering the development of shadow imaging techniques to visualize brain microstructure with unprecedented detail, aiding in the study of pathologies like tumor invasion, Parkinson's disease, and Alzheimer's disease.Utilizing super-resolution microscopy (STED) explored the potential of extracellular matrix modulation for enhancing brain plasticity in healthy individuals and following brain injury.Unveiling brain microstructure secrets: Employing STED to investigate the role of brain microstructure in Alzheimer's disease progression and tumor invasion, paving the way for targeted therapies.

Founder

Paris, Ile-De-France, France

Trusted advisor to leading investors: Leveraging deep scientific expertise to evaluate technology-related risks and clinical trial outcomes in cutting-edge fields like AI-powered Alzheimer's diagnostics and gene therapies for Parkinson's disease.Bridging the gap between science and business: Curating the "Paris Biotech" events platform and blog to foster knowledge-sharing about the latest biotech innovations and empower informed investment decisions.Organizing “Paris Biotech” events, writing a blog about innovations in biotech.

Postdoctoral Research Scientist

Paris Area, France

Independent research leader: Spearheaded two novel projects on neuronal plasticity and energy metabolism, driving scientific progress in this crucial area.Collaborative powerhouse: Managed four collaborative research initiatives exploring neuronal plasticity and neurodegenerative diseases (Parkinson's, Huntington's). This successful collaboration resulted in four published papers with one more forthcoming.Technical innovator: Developed and implemented a groundbreaking 2P imaging technique to study deep-brain stimulation, a potential breakthrough in treating neurological disorders. This innovation facilitated efficient teamwork, leading to a Master's student securing a PhD fellowship to continue this impactful research.Coding for discovery: Designed Python algorithms to streamline imaging data analysis, accelerating research progress.

Dec 2015 - Dec 2020

Visiting Researcher

Magdeburg, Germany

Investigated the extracellular matrix as a target for enhancing neuronal plasticity, contributing to data analysis and automation through custom MATLAB software.

Jan 2014 - Mar 2014

Researcher, Phd Student

Wako-Shi, Saitama, Japan

Led the design of two research projects exploring synaptic integration within neuronal networks, elucidating the cellular mechanisms of learning and memory formation.Provided mentorship to Master's students and secured research funding. Managed funding, coordinated grants applications and scientific reports.

Aug 2011 - Dec 2013
4 education records

Yulia Dembitskaya education

Doctor Of Philosophy - Phd, Physiology, General

Kazan State University, Russia And Riken Brain Science Institute, Japan

Specialization: Neuroscience, Neurodegenerations, Brain Oncology, Human Physiology

FAQ

Frequently asked questions about Yulia Dembitskaya

Quick answers generated from the profile data available on this page.

What company does Yulia Dembitskaya work for?

Yulia Dembitskaya works for Universitätsmedizin Göttingen.

What is Yulia Dembitskaya's role at Universitätsmedizin Göttingen?

Yulia Dembitskaya is listed as Researcher at Universitätsmedizin Göttingen.

Where is Yulia Dembitskaya based?

Yulia Dembitskaya is based in Paris, ÎLe-De-France, France while working with Universitätsmedizin Göttingen.

What companies has Yulia Dembitskaya worked for?

Yulia Dembitskaya has worked for Universitätsmedizin Göttingen, University De Bordeaux, Université De Bordeaux, Paris Biotech, and Collège De France.

How can I contact Yulia Dembitskaya?

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What schools did Yulia Dembitskaya attend?

Yulia Dembitskaya holds Doctor Of Philosophy - Phd, Physiology, General from Kazan State University, Russia And Riken Brain Science Institute, Japan.

What skills is Yulia Dembitskaya known for?

Yulia Dembitskaya is listed with skills including Neuroscience, Neurophysiology, Biophysics, Fluorescence Microscopy, Confocal Microscopy, and Microscopy.

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