Susan Mitchell
Fort Collins,CO
Summary
Strong educational background in biology, statistics, and computer science with proven ability to apply these tools to biological research questions. Effective at experimental design, science communication through writing and presentations, and the ability to collaborate across disciplines to meet an end-goal.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Periodic Table of Food Initiative (PTFI)
Colorado State University Department of Horticulture and Landscape Architecture
01.2020 - Current
- Managed the metadata for thousands of food entries in the PTFI database
- Collaborated with an international team to standardize the preparation and extraction procedures for foods and the systematic collection of metadata
- Implemented a freezer organization system to maintain and update food metadata systematically
- Developed training materials and resources for global teams, offered guidance on the implementation of the PTFI project
- Conducted training sessions for collaborators to familiarize them with the usage and functionalities of PTFI tools
- Workshopped the design of data structure, data entry, and data cleaning processes for PTFI data.
Research Associate
Colorado State University Department of Horticulture and Landscape Architecture
06.2019 - Current
- Lead and directed teams in the execution of -omic experiments
- Collaborated with cross-functional teams to successfully conduct -omic based projects
- Provided training to colleagues in experimental design, metabolomics analytical techniques, and data analysis
- Designed experiments for metabolomics analysis of X samples
- Created a library of standard operating procedures (SOPs) for both general lab operations and metabolomic assays
- Conducted data analysis and developed machine learning models using Python and R.
MS Research Project
Colorado State University Department of Horticulture and Landscape Architecture
08.2019 - 08.2023
- Designed and implemented Python-based machine learning algorithms to verify the geographic origin of whole black peppercorns
- Conducted pre-processing and cleaning of FTIR and DART-MS data matrices for high throughput data analysis
- Lead the experimental design of a foodomics project and oversaw sample processing, analytical method development, and setup, including randomization and quality controls (QCs)
- Created and implemented Standard Operating Procedures (SOPs) for ambient mass spectrometry analysis techniques
- Formulated and implemented SOPs for FTIR and DART-MS analysis techniques
- Developed and implemented SOPs for sample processing methods
- Authored a scholarly paper for publication in a scientific journal.
Education
Master of Science - Biological Data Analysis
Colorado State University
Fort Collins, CO05.2023
Bachelor of Science - Biochemistry
Colorado State University
Fort Collins, CO05.2019
Skills
Data Analysis
Statistical Analysis
Experimental Design
Data Management
R Programming
Python Programming
Java Programming
SQL
Honors and Awards
College of Natural Sciences Outstanding Scholar Award for the Graduate Student Showcase, a scholarship given to the top 5 posters written by the graduate students in the Natural Science College at the annual Graduate Student Showcase at Colorado State University., 2021
Presentations
American Society for Mass Spectrometry 2022 Oral Presenter, presented a 15-minute oral presentation at the national American Society for Mass Spectrometry annual conference on authenticating the geographical origin of black peppercorn using data analysis in real time paired with low resolution mass spectrometry (DART-MS) and chemometric analysis.
Publications
Jacqueline M. Chaparro; Rachel R. Jones; Susan B. Mitchell; Corey D. Broeckling; Adam L. Heuberger; Tracy Shafizadeh; Steven Watkins; Jessica E. Prenni, Multielement Profiling of Diverse Food Samples, ACS Food Science and Technology, 2023, 8, 3, 459-464, 10.1021/acsfoodscitech.2c00396
Certification
- Introduction to Git and GitHub (2023, Coursera)
- SQL for Data Science (2023, Coursera)
- Machine Learning for Mass Spectrometry Data Analysis (2022, American Society for Mass Spectrometry (ASMS))
Timeline
Periodic Table of Food Initiative (PTFI)
Colorado State University Department of Horticulture and Landscape Architecture
01.2020 - Current
MS Research Project
Colorado State University Department of Horticulture and Landscape Architecture
08.2019 - 08.2023
Research Associate
Colorado State University Department of Horticulture and Landscape Architecture
06.2019 - Current
Master of Science - Biological Data Analysis
Colorado State University
Bachelor of Science - Biochemistry
Colorado State University
- Introduction to Git and GitHub (2023, Coursera)
- SQL for Data Science (2023, Coursera)
- Machine Learning for Mass Spectrometry Data Analysis (2022, American Society for Mass Spectrometry (ASMS))
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