Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions

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Discussions with Computomics and guest speakers on topics covering a wide range from bioinformatics, agriculture, farming, crops, food, to specific research projects. How can new technologies like machine learning facilitate solutions for global food challenges?

  1. Data, Dashboards & DNA: The Life of a Bioinformatics Analyst

    2 TIMER SIDEN

    Data, Dashboards & DNA: The Life of a Bioinformatics Analyst

    In this episode of the Computomics podcast, bioinformatics analyst Michelle Hagen describes how her work bridges biology and data science. As a data analyst in bioinformatics and plant breeding, Michelle transforms raw genetic and environmental data into insights that guide breeding decisions. She particularly enjoys the teamwork, problem-solving, and creativity involved in her job. Michelle works on Computomics’ Climate-Smart Breeding technology xSeedScore and the Metagenomics Analysis Platform MORPHEUS. Her main tasks involve performing data quality control, running bioinformatics pipelines, and creating interactive dashboards for customers. Her work supports the development of climate-resilient, high-yield crops, and it helps breeders make data-driven breeding faster and more precise.

    23 min.
  2. Inside Africa’s Leading Veg Breeding Company: The Starke Ayres Story

    16. OKT.

    Inside Africa’s Leading Veg Breeding Company: The Starke Ayres Story

    Glendon Ascough, Research Director at Starke Ayres, discusses the evolution of the company from a historic seed merchant to Africa’s largest independent vegetable breeding company. He shares his personal journey into plant science, driven by a fascination with genetics, and highlights the company’s focus on breeding disease-resistant vegetable varieties tailored to local and international markets. He talks about the collaboration with Computomics, using machine learning to predict sweet corn hybrid performance. Glendon emphasizes the importance of high-quality, diverse phenotypic data and the shift in breeder mindset required for data-driven approaches.

    26 min.
  3. Hopi Dryland Farming: Ancient Methods, Modern Lessons

    18. SEP.

    Hopi Dryland Farming: Ancient Methods, Modern Lessons

    This episode features Dr. Michael Kotutwa Johnson, a Hopi dryland farmer from Arizona’s Colorado Plateau. He shares how his community has grown crops for 3,000 years on just 6-10 inches of annual rain without irrigation. Using deep planting, wide spacing, clumped seeds, and reading native vegetation, Indigenous farming conserves moisture and maintains biodiversity. It yields nutrient-rich crops without chemicals, protects soil, and integrates spiritual traditions. Climate change impacts - shorter summers, longer winters, less precipitation - are addressed by adapting planting practices and trusting in seed adaptation through continual cultivation. Michael advocates for growing seeds annually to keep them climate-resilient, and for revitalizing Indigenous food systems to combat health crises like diabetes. Beyond yields, the Hopi system offers values of stewardship, sharing, and hope, which he believes can inspire global agricultural approaches. More: "Dr. Hopi Farmer" on InstagramMichael K. Johnson on LinkedInIndigenous Resilience CenterIndigenous Landscapes: An example from Hopi (Lecture)

    22 min.
  4. Breeding Success: How Computomics Partners With Breeders

    17. JUL.

    Breeding Success: How Computomics Partners With Breeders

    In this Computomics podcast episode, Computomics Chief Commercial Officer Juan Manuel Montes shares insights into his passion for learning and his recent experience at the International Seed Federation conference in Istanbul. He discusses industry challenges like climate change and consumer demands, highlighting how Computomics supports plant breeders with technologies like xSeedScore and Pantograph. These tools accelerate variety development and genomic analysis. Juan emphasizes the company’s customer-centric approach, tailoring solutions for clients of all sizes through strategic collaboration. The episode wraps up the current season, with new content returning in September.

    19 min.
  5. The Psychometric Test for Plants: Accelerating Crop Research

    26. JUN.

    The Psychometric Test for Plants: Accelerating Crop Research

    Our guest in this episode is Keren Moshelion, CEO and co-founder of Plant-Ditech. Karen shares insights into the company’s advanced plant phenotyping platform. The system simulates stress conditions like drought, salinity, and nutrient variability, measuring plant responses with high-resolution sensors up to 500 times a day. These real-time measurements help researchers rapidly assess plant productivity, growth, and water use efficiency. It enables them to customize treatments per plant and analyze physiological traits linked to yield. Designed for greenhouses and growth chambers, the platform significantly accelerates agtech R[&]D, with customers reporting time savings of up to two years. The company's clients use the system for both academic and commercial research.

    21 min.
  6. AI and Gene Editing: The Future of Crop Development

    22. MAJ

    AI and Gene Editing: The Future of Crop Development

    Our guest in this episode is Kinneret Shefer, co-founder and CEO of AgTech startup GeneNeer. Kinneret shares the founding of GeneNeer, driven by her shift from pure RNA research to market-driven innovation. GeneNeer aims to revolutionize crop breeding by drastically shortening trait development time using fast, tissue culture-based gene editing platforms. Kinneret compares her vision for GeneNeer to Pfizer's rapid vaccine development during COVID-19, enabling fast responses to agricultural challenges like drought or new pests. GeneNeer's "super line" platform allows rapid, iterative trait development with backup options, while their AI-supported platform enables precise, tissue- and time-specific gene editing without introducing foreign DNA. GeneNeer's business model includes custom collaborations and independent product development. More: GeneNeerKinneret Shefer on LinkedIn

    23 min.
  7. From Lab to Legislation: Bridging Science and Policy

    23. APR.

    From Lab to Legislation: Bridging Science and Policy

    In this episode of our podcast Amrit Nanda, Executive Manager of Plants for the Future ETP, discusses the importance of plant breeding, public-private collaboration, and science-based policymaking in the EU. She highlights the platform’s mission to connect academia, industry, and policymakers, and to improve science communication through initiatives like “Plantastic Discoveries.” A recent study on 20 years of EU research funding revealed limited growth for plant breeding despite strong overall program growth. Amrit stresses the need for long-term funding models, more support for Eastern Europe, and the potential of gene editing and AI.

    26 min.
  8. Leaf Whisperings - Communicating the Science of Plants

    20. MAR.

    Leaf Whisperings - Communicating the Science of Plants

    Our new episode explores science communication with Tamara Worzewski, focusing on overcoming "plant blindness" and engaging the public with plant-related topics. Tamara highlights the importance of storytelling in making science accessible and building trust between scientists and the public. Topics range from Arctic ecosystems to public outreach strategies, emphasizing creative ways to connect people with plants and nature. Titles like “Plants, Stories, and Science” and “Breaking Plant Blindness” reflect this blend of narrative and education. The conversation inspires innovative approaches to connecting people with science. More: The term-defining publication on “Plant Blindness” Plant Science Café, Sofa Events, and more"Best of" movies by BlattgeflüsterBlattgeflüster websiteBlattgeflüster on Instagram Tamara’s freelancer website

    25 min.
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Discussions with Computomics and guest speakers on topics covering a wide range from bioinformatics, agriculture, farming, crops, food, to specific research projects. How can new technologies like machine learning facilitate solutions for global food challenges?

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