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    <title>mentor | InsectAI  ACCESS-2026</title>
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      <title>Charlie Outhwaite</title>
      <link>https://darsa.info/ACCESS-2026/people/auto-couthwaite/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Charlie is a research and teaching fellow at the Centre for Biodiversity and Environment Research at University College London. Her research focuses on understanding large-scale patterns in insect biodiversity change. Currently she is working on the GLiTRS project (&lt;a href=&#34;https://glitrs.ceh.ac.uk/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;GLobal Insect Threat-Response Synthesis&lt;/a&gt;) which aims to complete a comprehensive and predictive assessment of the pattern and consequences of insect decline at the global scale.&lt;/p&gt;
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      <title>Emily Bick</title>
      <link>https://darsa.info/ACCESS-2026/people/auto-ebick/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Emily is an Assistant Professor in the Department of Entomology at the University of Wisconsin-Madison. Her interests are in leveraging sensors enabled with machine learning to better understand insect population dynamics in agroecosystems. Recently, the Bick lab started leveraging sound data from the &amp;lsquo;Insect Eavesdropper&amp;rsquo; sensor to quantify herbivore leaf feeing, stem boring, and root feeding behavior.&lt;/p&gt;
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      <title>James Crall</title>
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      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;James is an Assistant Professor in the Department of Entomology at the University of Wisconsin-Madison. His interests are focused on the behavioral ecology of insects under global change. His lab group uses computer vision and automation to address these questions, and ongoing projects include developing systems for quantifying social behavior within bee nests and automated monitoring of flower-visiting insects to understand behavior and community ecology.&lt;/p&gt;
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      <title>Jenna Lawson</title>
      <link>https://darsa.info/ACCESS-2026/people/auto-jlawson/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Jenna is a biodiversity scientist specialising in the use of technology, such as acosutics, cameras and robotics, to monitor and conserve biodiversity. Jenna completed her PhD at Imperial College London in 2021 where she used bioacoustics and machine learning to monitor the Geoffory&amp;rsquo;s spider monkey and investigate the effects of palm and teak plantations on biodiversity. She then spent two years working for the Robotics department at EPFL in Switzerland and Imperial College London where she used robotics and acoustics to monitor freshwater and forested ecosystems across Europe.&lt;/p&gt;
&lt;p&gt;At UK CEH Jenna manages an international network of automated biodiversity monitoring equipment being used to understand the effects of anthropogenic change within tropical ecosystems and the impacts of sustainable farming on biodiversity in the UK. Jenna is interested in how we can use technology to better understand and conserve biodiversity, especially with the increasing threats posed by extreme climatic events. Jenna works with partners globally to support nature conservation and sits on the board of two oveseas NGOs. She has a keen interest in outreach activities has developed her own audio-visual immersive experience which can be viewed here, and has presented and exhibited at many public events including festivals, museums and conferences. Additionally, Jenna is interested in the interface between art and science and how we can use art as a tool for outreach.&lt;/p&gt;
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      <title>Guillaume Mougeot</title>
      <link>https://darsa.info/ACCESS-2026/people/auto-gmougeot/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Guillaume Mougeot is a postdoctoral researcher at Aarhus University in the Department of Ecoscience. His work applies machine learning and computer vision techniques to address challenges in biology and ecology. He earned an engineering degree from Centrale Nantes and a Master of Science from Shanghai Jiao Tong University, before completing his Ph.D. in 2023 through a collaboration between Oxford Brookes University and Université Clermont Auvergne. His doctoral research focused on three-dimensional microscopy image segmentation, and he has also investigated animal species identification during his master’s studies and in his current postdoctoral work.&lt;/p&gt;
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      <title>Jarrett Blair</title>
      <link>https://darsa.info/ACCESS-2026/people/auto-jblair/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Jarrett completed his PhD in Zoology at the University of British Columbia, where he investigated applied methods of computer vision for ecology. Broadly, Jarrett is interested in using computer vision for bulk insect specimen processing. More specifically, much of his work explores the integration of data modalities such as DNA and spatiotemporal metadata within computer vision classification pipelines. Through integrating diverse data types with computer vision, Jarrett aims to significantly improve the efficiency and accuracy of cataloging insect specimens, contributing to broader ecological and conservation efforts.&lt;/p&gt;
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      <title>Jamie Alison</title>
      <link>https://darsa.info/ACCESS-2026/people/auto-jalison/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Jamie is a tenure-track researcher in &lt;a href=&#34;https://ecos.au.dk/en/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Ecoscience&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;His research is centred on the impacts of land use on wildlife, and especially insects. &lt;/p&gt;
&lt;p&gt;To better understand trends in insect biodiversity, he design and deploys &amp;ldquo;insect surveillance cameras&amp;rdquo; to monitor minifauna in the wild at extreme spatial and temporal resolutions.&lt;/p&gt;
&lt;p&gt;He has expertise in computer vision and AI-assisted extraction of data from wildlife imagery and vessel-borne radar, as well as open-source Geographic Information Systems.&lt;/p&gt;
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      <title>Luca Pegoraro</title>
      <link>https://darsa.info/ACCESS-2026/people/auto-lpegoraro/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://darsa.info/ACCESS-2026/people/auto-lpegoraro/</guid>
      <description>&lt;p&gt;Luca is a postdoc at WSL in the Biodiversity and Conservation Unit, and he works together with the Swiss Data Science Center to build camera systems and models to monitoring pollinators in the field&lt;/p&gt;
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