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       environment, from human joints to full-scale aquatic, terrestrial and aerial creatures. I futher combine it with theory to
       reveal a unified mechanism that explains the <b>natural gait selection</b> of limbless locomotion of snakes, and deploy it for <b>engineering control</b>. </p>
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     <p>In conjunction with compuatational endeavors, I also combine the musculoskeletal solver with evolutionary algorithms to aid in
       the design and realization of both walking and swimming <b> bio-hybrid robots</b>. These systems combine living materials 
       (muscles and neurons) with artificial scaffolds to achieve autonomous and controlled locomotion. 
       Recapitulating the musculoskeletal features encountered in nature, they also represent ideal 
       platforms to probe principles of biological control, sensing and actuation. (<i>Image credits - Left: Gelson Pagan-Diaz, Right: Jiaojiao Wang</i>)</p>
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     <p>My current research also focuses on decoding the inner workings of biological neural networks and streamlining their use in computing and
-       robotics. I have been leading the development of a fully customizable, verstaile and scalable system for  <b>multimodally interacting with in-vitro neurons</b>
+       robotics. I have been leading the development of a fully customizable, versatile and scalable system for  <b>multimodally interacting with in-vitro neurons</b>
       across scales and environments. This work provides a technological foundation for deploying neural intelligence in engineering applications, 
       while paving the way to a novel neural computing paradigm.</p>
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