Adrián E. Granada
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Adrián E. Granada Email & Phone Number

Scientific Advisor and Quantitative Lead at Granada Scientific
Location: Berlin, Berlin, Germany 7 work roles 3 schools
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Role
Scientific Advisor and Quantitative Lead
Location
Berlin, Berlin, Germany

Who is Adrián E. Granada? Overview

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Adrián E. Granada is listed as Scientific Advisor and Quantitative Lead at Granada Scientific, based in Berlin, Berlin, Germany. AeroLeads shows a matched LinkedIn profile for Adrián E. Granada.

Adrián E. Granada previously worked as Research Group Leader at Charité and Independent Researcher at Humboldt-Universität Zu Berlin. Adrián E. Granada studied at Harvard Medical School.

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Email format at Granada Scientific

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Granada Scientific

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Profile bio

About Adrián E. Granada

Extensive experience in quantitative, molecular, and cellular biology, with expertise in pre-clinical in-vitro research assays, quantitative pharmacology, mathematical modeling, and data analysis. Background in computational biology, circadian rhythms and single-cell biology. More at http://granadalab.org

Listed skills include Fluorescence Microscopy, Computational Biology, Circadian Rhythms, Data Analysis, and 11 others.

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Adrián E. Granada's current company

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Granada Scientific
Granada Scientific
Scientific Advisor and Quantitative Lead
Berlin, DE
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7 roles

Adrián E. Granada work experience

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Scientific Advisor And Quantitative Lead

Granada Scientific

Berlin, DE

Research Group Leader

granadalab.org

Research Fellow In Systems Biology

Single-cell Dynamics of Cellular Fates in Cancer Therapy. Resistance and Fractional Response.- Developed a method to precisely control DNA damage inside a live-imaging microscope by means of a photo inducible system.- Designed and established single-cell live fluorescent reporters of DNA damage, cell cycle markers, cell-fate and cell proliferation markers.

May 2012 - Feb 2016

Research Assistant

Information Transfer in the Mammalian Circadian Clock- Applied information theory to study information transfer in the mammalian circadian clock.- Time series data analysis of U2OS cells under temperature perturbation pulses.

Jun 2011 - Feb 2012

Phd Student

Transients and Bifurcations of the Mammalian Circadian System. Theoretical and experimental.- Combined numerical simulations, synchronization theory and data analysis to study properties of the mammalian circadian clock.- Developed mathematical models that describe the dynamics of coupled oscillators. - Applied time series data analysis to study.

May 2006 - Jun 2011

Graduate Student

The Generation of Respiratory Rhythms in Birds- Mathematical model the air sacs and the neural nuclei involved in the generation of respiratory rhythms in songbirds.- Applied non-linear dynamics, bifurcation theory and numerical simulations to generate a bifurcation diagram for the air sacs-neural nuclei system.

Aug 2004 - Aug 2005
3 education records

Adrián E. Granada education

FAQ

Frequently asked questions about Adrián E. Granada

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What company does Adrián E. Granada work for?

Adrián E. Granada works for Granada Scientific.

What is Adrián E. Granada's role at Granada Scientific?

Adrián E. Granada is listed as Scientific Advisor and Quantitative Lead at Granada Scientific.

Where is Adrián E. Granada based?

Adrián E. Granada is based in Berlin, Berlin, Germany while working with Granada Scientific.

What companies has Adrián E. Granada worked for?

Adrián E. Granada has worked for Granada Scientific, Charité, Humboldt-Universität Zu Berlin, Harvard Medical School, and Universidad De Buenos Aires.

How can I contact Adrián E. Granada?

You can use AeroLeads to view verified contact signals for Adrián E. Granada at Granada Scientific, including work email, phone, and LinkedIn data when available.

What schools did Adrián E. Granada attend?

Adrián E. Granada studied at Harvard Medical School.

What skills is Adrián E. Granada known for?

Adrián E. Granada is listed with skills including Fluorescence Microscopy, Computational Biology, Circadian Rhythms, Data Analysis, Cancer Research, Biochemistry, Time Series Analysis, and Matlab.

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