Lauren M. Stein, PhD
Postdoctoral Research Fellow In Behavioral Neuroscience
Philadelphia,PA
Summary
Highly motivated Postdoctoral Researcher conducts behavioral neuroscience research and participates in machine learning topics that demonstrate experience with complex data analysis and high-performance computing. Bringing experience in both self-directed and support research capacities, as well as PhD degree in Pharmacology & Physiology from St. Louis University. Fascinated by the neurological basis for behavior and passionate about diving into new and challenging concepts and technologies. Driven to learn, grow and excel in the machine learning and data science environment.
Overview
6
6
years of post-secondary education
8
8
years of professional experience
Work History
Postdoctoral Research Fellow
University Of Pennsylvania
Philadelphia, PA
07.2016 - Current
- Conducted research in behavioral neuroscience with team of five graduates and faculty.
- Contributed to and actively participated in research conception, design and execution to address defined problems and conduct hypothesis-driven research.
- Leveraged interpersonal and communication skills to mentor PhD, graduate and undergraduate students.
- Maintained accurate records of research findings and provided statistical analysis of data results.
- Published research results in 15 peer-reviewed journals and disseminated findings at 7 international and national meetings.
Doctoral Research Fellow
Saint Louis University
St. Louis, MO
07.2012 - 06.2016
- Synthesized data and interpreted trends in writing, publishing 9 papers on neuroendocrine regulatory mechanisms.
- Mentored students through hands on lab training and one-on-one communication.
- Performed research into study topics to increase knowledge and ability to provide valuable contributions.
- Used Prism, Excel, and SPSS to perform statistical, qualitative and quantitative analysis and visualization of physiological data.
- Interpreted and conducted statistical analysis on research data to draw conclusions on outcomes.
Education
Certificate - Data Analytics And Visualization
06.2020 - 12.2020
Doctor of Philosophy - Pharmacology & Physiology
07.2012 - 05.2016
Bachelor of Science - Biology
01.2007 - 12.2008
Skills
Primary Languages: Python, R SQL
Projects
Climate Impact Prediction: Polar Bear Analysis (https://github.com/lilstarhunter/SavePolarBears.git)
- A full-stack web application hosted on Heroku providing essential information about Polar Bears in the Arctic and visualize the impact of climate change on this species.
- Utilized SQL to clean and transform climate and polar bear behavior data, trained random forest and kNN in sklearn to input various climate change metrics to predict impact on polar bear mobility and habitat suitability.
Exoplanet Explorer (https://github.com/lilstarhunter/exoplanetExplorer)
- Preprocessed data exoplanet data from NASA over a period of nine years, created multiple machine learning models (SVM, logistic regression, random forest, kNN, and neural network) capable of classifying candidate exoplanets from the raw dataset.
- Hypertuned a random forest classifier model to predict exoplanets with 90% accuracy
Exploring Biodiversity in U.S. National Parks (https://github.com/lilstarhunter/ParkBiodiversity)
- Mined and cleaned data on park biodiversity and geolocation to create a relational database using SQLAlchemy and PostgreSQL
- Created interactive maps and plots using Plotly and Leaflet to explore species biodiversity
Timeline
University Of Pennsylvania - Certificate, Data Analytics And Visualization
06.2020 - 12.2020
Postdoctoral Research Fellow - University Of Pennsylvania
07.2016 - Current
Doctoral Research Fellow - Saint Louis University
07.2012 - 06.2016
St. Louis University - Doctor of Philosophy, Pharmacology & Physiology
07.2012 - 05.2016
University Of Missouri - St Louis - Bachelor of Science, Biology
01.2007 - 12.2008
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