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Sero Parel

Sero Parel

PhD Researcher, Scientist, Analyst

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New York City, New YorkMember since August 28, 2024
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About

  • PhD Researcher, Scientist, Analyst
  • Seeking new role leveraging skills in quantitative and statistical analyses
  • Python, Jupyter, R, Unix/Linux bash shell
  • Based in NJ/NYC area

Experience

CORE COMPETENCIES

  • Clinical and Pre-clinical Research Data
  • Quantitative & Statistical Methods
  • Data Analytics & Visualization 
  • Cross-functional Leadership
  • Scientific Communication & Publication
  • Regulatory Strategy & Protocol Adherence
PROFESSIONAL EXPERIENCES

Graduate Researcher

Princeton University | Princeton, NJ | 08/2018 - 05/2024

  • Led 5-year research collaboration with 12+ professionals investigating the predictive role of childhood trauma on pharmacological antidepressant treatment outcomes with escitalopram, desvenlafaxine, imipramine, and ketamine.
  • Analyzed data using MADRS and HAM-D clinical depression rating scales collected by physicians from 200+ patients.
  • Performed bioinformatic analyses on RNA-sequencing data from patient whole blood cell and animal brain samples.
  • Designed experiments to test predictions of behavior and drug treatment outcomes in an animal model, generating over 2000 behavioral observations per experiment and complying with regulatory documentation of ketamine.
  • Published 2 first-author papers in PNAS and Biological Psychiatry; presented at 3 international conferences.
Graduate Teaching Assistant 

Princeton University | Princeton, NJ | 08/2019 - 05/2020

  • Designed and taught curriculum on AI/ML data science applications in neuroscience to 100+ students across 6 sections.
Research Technician

Weill Medical College of Cornell University | New York, NY | 12/2015 - 03/2018

  • Trained and mentored team members in high-quality data collection and robust statistical analyses of brain data.
  • Followed protocol adherence and regulatory specifications for controlled substances including ketamine.
TECHNICAL SKILLS
  • Programming & Data Science: Python, Jupyter Notebooks, R, RStudio, Unix/Linux bash shell, algorithms.
  • Statistical Methods: GLM, ANOVA, regression, clustering, dimensionality reduction, classification.
  • Data Visualization: Python, R, Prism GraphPad, with ability to gain proficiency in new tools including Tableau.

Education

PhD in Neuroscience | Princeton University | Princeton, NJ | 05/2024

MS in Neuroscience | Princeton University | Princeton, NJ | 09/2021

BA in Neuroscience (Major), Economics (Minor), & American Studies (Minor) | Oberlin College | Oberlin, OH | 05/2015

Certification in Business of Science for Scientists | SciPhD | iJOBS Rutgers University | New Brunswick, NJ | 01/2024

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