Manuel Mekkattu
Manuel Mekkattu
Student / Programme Doctorate at D-MAVT
Additional information
Research area
My research centers on soft body modeling within the field of soft robotics, with a focus on the relevant physics and numerical optimization needed to capture complex dynamics. I am particularly interested in developing computational frameworks that simulate the behaviors of soft materials and biological tissues. In the context of biohybrid robotics, I integrate first-principle methods with artificial intelligence to advance the design and fabrication of cutting-edge living robots. By leveraging fundamental laws of physics and biology, I create robust frameworks that decode complex interactions within biohybrid systems. The integration of AI enhances the predictive accuracy of these models, allowing for the simulation of intricate behaviors in both biological tissues and synthetic materials.
Honours
Year | Distinction |
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2023 | Brigham Research Excellence Award, Harvard University (Award for outstanding contributions to research at Brigham and Women’s Hospital) |
2023 | Heyning-Roelli Stiftung Scholarship (Grant for Master Thesis abroad) |
2023 | Zeno-Karl-Schindler Foundation Scholarship (Grant for Master Thesis abroad) |
2018 | Basler Maturapreis der Novartis (Award for outstanding curricular and extracurricular achievements) |
2018 | Kantonaler Maturandenpreis, Gymnasium Muttenz (Certificate of being amongst the top Matura graduates) |
Additional information
Academic Experience
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Sep 2021 - Sep 2023: Master's in Biomedical Engineering, ETH Zurich, Switzerland (Major: Bioelectronics), GPA: 5.77 / 6 (graduated with honors)
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Mar 2023 - Aug 2023: Master Thesis at Harvard Medical School, Brigham and Women's Hospital, Division of Cardiac Surgery, Grade: 6 / 6
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Sep 2018 - Sep 2021: Bachelor's in Physics, ETH Zurich, Switzerland, GPA: 5.51 / 6
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Aug 2014 - Jun 2018: Bilingual Matura (German-English), Gymnasium Muttenz, Switzerland, GPA: 5.85 / 6 (Ranked 1st out of 158 students)