John Berriman Email and Phone Number

- Exploring the wonderful data of plant-based meat and building bespoke machine learning implementations to help shape the future of food

- Created a food product sensory evaluation program for Beyond Meat, generating continuous data stream for innovation, product development, product quality, and continuous improvement initiatives- Managed internal and external trained panel evaluations and focus groups to quantify flavor, aroma, color, and textural attributes of food- Conducted large-scale consumer testing via central location and field intercept tests, leading to numerous product improvements driven by consumer feedback - Partnered with large QSRs and other industry and academic collaborators in an open innovation framework, producing creative data-driven insights for a growing CPG niche

- Core team member for ideation, prototyping, and commercialization of the Beyond Burger™, the world’s first plant-based meat burger, and other industry-leading plant-based meat products- Performed interdisciplinary experiments in a dynamic, fast-paced food science startup company- Developed novel assays for evaluating product performance, testing new ingredients, and validating product shelf-life- Implemented Design of Experiment (DoE) framework and statistical analyses to improve project efficiency and enforce QA/QC standards

- Engaged in immersive data science curriculum and learned industry best practices and modern data science standards alongside a senior data scientist mentor- Developed projects involving experimental design, data structures, data cleaning/exploration,statistical modeling, and machine learning (regression, clustering, supervised/unsupervised learning, neural networks, and more)- Leveraged diversity of machine learning platforms (Amazon Web Services, Google Cloud Platform) and business tools (Tableau) in multiple programming languages (Python, postgreSQL, HTML/CSS/JS)

- Served as adjunct faculty and laboratory instructor in Biological Sciences, teaching diverse curriculum on eukaryotic diversity, comparative physiology, and evolution to undergraduate students- Trained students in fundamental science skills, such as experimental design, scientific writing, statistics, and technology

- Participated in NSF-supported research on systematics, evolution, and ecology on an understudied clade of sea slugs (Sacoglossa)- Applied diverse toolkit of molecular and computational approaches to combine genetic and morphological data to describe and delimit new species- Trained and mentored undergraduate and graduate students, sharing knowledge of laboratory techniques and domain knowledge