Hey there, I'm MICHAEL NOTARAS Ph.D.

NEW YORK  MELBOURNE  CHURCHILL  MANILA  BRISBANE

My Simplified Curriculum Vitae 

Education & Monetary Awards 

Michael Notaras PhD CV

  

Experience, Skills, & Technical Training

Work Experience

Michael Notaras PhD BMRI


2018 - Present

NHMRC CJ Martin Fellow in
Neuroscience

Center for Neurogenetics,
Cornell University


2016 - 2018
Post Doctoral Research Associate in Neuroscience 
Center for Neurogenetics,
Cornell University

2013 - 2016
Many Teaching Associate Roles
2016: PhD-level lab facilitator
2015: Biological Psychology
2014: Biological Psychology
2013: Mind, Brain, Behaviour
Florey Institute of Neuroscience 
University of Melbourne

2013 - 2016
PhD Candidate
Florey Institute of Neuroscience
University of Melbourne

2012 - 2012
Teaching Associate 
2012: Exploring Psychology
Monash University

 

 

General Skills

Michael Notaras Data Analysis

Data Analysis
I have completed extensive applied statistical coursework and training throughout my Bachelors, Honours and PhD programs. I have specific expertise in the SPSS & Graphpad Prism platforms. I have experience with linear, non-linear, parametric, non-parametric, multiple-regression models, the analysis of variance, multivariate analysis of variance, basic principal components analysis, and dimensional-defining models such as factor analysis & structural equation modelling. I have a published track-record that showcases my proficiency with many of these models.

Statistical Applications
I'm interested in statistics and data science for the ability of these methods to deconvolve complex traits and answer questions. Therefore, I also have experience with often-overlooked aspects of data analysis, such as sampling theory, statistical design, construct development, validation, and utilizing hypothesis tests to explain variability in statistical-relationships beyond the use of Fisher's p values. I also facilitate the tri-institutional & NIH-required Responsible Conduct in Research (RCR) course run by Cornell, the Rockefeller University, & Memmorial Sloan Kettering Cancer Center in New York City. Basically, if you want your data to tell you more than what a graph can display, I can probably help with that.

Programming Experience
• Basic python programming.
Basic R programming.

Writing & Research Skills
• Extensive analytical research skills, including relevant familiarity with various biological and public databases.
• Report & technical writing.

• Microsoft office suite.

Technical Training

Michael Notaras Early Organoids


Human Stem Cell Methods
• Monolayer iPSC Cultures.
• Expertise in 3D Cerebral Organoids (>1,000 generated).
• Expertise in undirected organoid protocol optimization.
• Survival-based FACS of dissociated cerebral organoids.
•  Purification of celltypes from cerebral organoids.
• iPSC-derived astroglia. 
• hESC-derived differentiation to oligodendrocytes.

Biochemistry, Cells, & Imaging
• Microfluidic devices. 
• CLICK-chemistry.
• Primary neuronal cell culture.
• Primary astrocyte cultures. 
• Extraction & purification of  mouse-derived nucleosomes.
• SDS-PAGE.
• Variations of immunoblots, incl. ECL & flourescent systems.
• Primary neuronal cell culture.
• Primary astrocyte cultures. 
• Basic protein informatics.
• Immunocytochemistry.
• Immunohistochemistry.
• Confocal microscopy, including some brief intro
to spectral deconvolution.
• Dendritic spine densitometry.

Rodent-Related Techniques
• Stereotaxic delivery of recombinant viruses to nuclei.

•  Learning, memory, extinction, & spontaneous recovery assays.
•  Affective- & anxiety-like rodent behavioral assays.
• Psychosis-like behavioral assays, e.g. prepulse inhibition.
• Neuropsychopharmacology.
• Complex inducible model management e.g. Eucomm Hmgu gene-trap vector. 
• Mouse colony maintenance & customized husbandry.


 

 

 

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Michael Notaras Ph.D. ©