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Louisa Schilling

@louisaschilling

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PhD candidate in neuroscience with expertise in computational research.

United States

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What I'm looking for

I seek a collaborative environment that fosters innovation and growth in neuroscience research.

I am a dedicated PhD candidate at Weill Cornell Medicine, specializing in neuroscience with a focus on computational connectomics. My research involves extensive training in quantitative analysis and statistical modeling, particularly examining the effects of neuropsychiatric illnesses across the lifespan. I have characterized sex-specific alterations in brain dynamics in youth with a family history of substance use disorder, utilizing large datasets and advanced neuroimaging techniques.

Throughout my academic journey, I have developed various analysis pipelines in MATLAB and Python, contributing to significant publications in the field. My experience spans multiple research roles, including graduate thesis work and internships at prestigious institutions, where I honed my skills in data analysis and experimental design. I am passionate about translating complex data into meaningful insights that can inform clinical practices and improve mental health outcomes.

Experience

Work history, roles, and key accomplishments

Current

Graduate Thesis Student

Current

Weill Cornell Medicine

May 2022 - Present (3 years 1 month)

Led multiple independent research projects focused on modeling neuropsychiatric illness, sex/gender, and hormones on human brain activity using network control theory. Characterized sex-specific alterations in brain state dynamics in children with family history of substance use disorder, utilizing multi-modal neuroimaging, genetic, and clinical data.

Quantitative Research Statistical Modelling Network Control Theory Neuroimaging FMRI Pet R Python

Graduate Rotational Researcher

Weill Cornell Medicine

Oct 2021 - May 2022 (7 months)

Performed stereotaxic surgery and recorded cocaine-induced dopamine release in GRAB-DA-expressing neurons in freely moving animals. Developed an analysis pipeline in MATLAB for experimental data.

Stereotaxic Surgery Dopamine Release Recording GRAB DA Matlab Experimental Design Cytokine Delivery

Master’s Thesis Student

University of Oxford

Jan 2020 - Dec 2021 (1 year 11 months)

Developed various analysis pipelines in MATLAB and Python to clean, align, and analyze photometry-derived and behavioral features. Determined dopaminergic and behavioral markers of learning by training mice on multiple behavioral experiments while recording multi-fiber photometry.

Matlab Python GRAB DA Dopaminergic Markers Data Analysis

Research Assistant

Max Planck Institute of Human Development

Jan 2018 - Aug 2018 (7 months)

Performed pre-processing and preliminary analyses in MATLAB and R on human behavioral data. Assessed the effect of group size on collective decision making in the context of diagnosing skin lesions.

Matlab R Collective Decision Making

Research Intern

National Center on Addiction & Substance Abuse (CASA)

May 2016 - Sep 2016 (4 months)

Researched and co-authored a report on the sources of childhood exposure to illicit substances. Conducted interviews with experts in poison control and pediatric care.

Research Interviewing

Research Intern

University of Rochester School of Medicine

May 2015 - Sep 2015 (4 months)

Authored a medical chapter reviewing the efficacy of corticosteroids in pain management. Conducted extensive literature reviews to support the chapter's content.

literature review Corticosteroids Research