Harrison Helmick
Senior Scientist @Roquette
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WORK HISTORY
Senior Scientist @Roquette
Geneva, IL, US
Main responsibilities- Develop new ingredient product lines for food applications in dairy, baking, meat alternatives, and ready-to-drink beverages- Leverage knowledge of structure-function relationships to modify processing techniques for improved functionality in plant-based protein- Oversee projects related to improving product functionality with a team of researchers Data Science- Develop automation pipelines for analytical data for data structuring, visualization, and processing using a combination of Python, R, and KNIME- Create and maintain analytical dashboards using QlikSense for various datasets within R&D including ingestion of data with SQL-like scripts- Work in Azure for development of new analytical methods for raw data including FTIR, RVA, Spectroscopy, rheological data, and functional tests- Deploy analytical techniques in low-code / no-code environments for team use- Develop appropriate warehousing and aggregation of data to move from low code environments into structured databases (Snowflake)- Develop, Train, Test, YOLO model for object detection in image data- Apply statistical modeling to understand protein functionality using a combination of process data and physicochemical data including feature selection and model development
EDUCATION
National Taiwan University
Chinese language
Kansas State University
Bakery Science
Purdue University
Doctor of Philosophy - PhD
Universidade Federal de Santa Catarina
Economics and Portuguese
ABOUT HARRISON HELMICK
I work as a senior scientist at Roquette, focusing on protein chemistry and data science as it relates to R&D. I love thinking about protein structure function relationships and how we can use that knowledge to innovate in the protein ingredient space. I also work with automating data analysis for the R&D team including structuring, analytical pipelines, and presentation of final results. I graduated with a PhD in Food Science at Purdue University after manufacturing experience in the baking industry. My research aimed to generate linear and non-linear relationships between structural bioinformatics and food processing methods using a materials science framework. With this work, we helped to uncover new structure - function relationships of plant based protein. Previously, I worked in manufacturing as part of the baking industry. I focused on lean six sigma and process improvement, ultimately achieving my black belt certification. I continue to use those skills as I navigate the food science world. Proficient research techniques:Structural Bioinformatics: Generating, evaluating, characterizing, quantifying, and Python scripting for model analysis, Chimera, Python for bioinformaticsPython for data science: data munging, application program interface (API) usage, text mining, machine learning, package familiarity (Pandas, NumPy, SciKit learn, Bio Python, natural language tool kit, SpaCy, PyTorch, TensorFlow)Physicochemical Analysis: Rheology, spectroscopic techniques (FTIR, UV-VIS), differential scanning calorimetry, thermogravimetric analysis, tensiometer, SDS-PAGE, fluorescence spectroscopy
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