Anirudhh VenkatI am a recent dual enrolled graduate of Florida Atlantic University High School, in partnership with Max Planck Academy. My interests lie broadly in artificial intelligence, and I'm fascinated by its intersection with neuroscience. I am currently working on two exciting projects:
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Research |
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Human Gait Recognition Using Pose EstimationStay tuned for updates! |
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Enhancing Transfer Learning Techniques for Improved Medical Imaging AnalysisWe achieve better performance in radiological classification tasks through data augmentation, and also evaluate the addition of new modalities during pretraining, and a modern architecture (EfficientNetv2). |
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Predicting Joint Angles During Locomotion in DrosophilaWe developed a novel approach to predict joint angles in walking Drosophila using treadmill velocity data. I recently presented on our progress at the Max Planck Florida Institute for Neuroscience. |
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Decoding a Turn: The Latent Spaces Within Stereotypical Turns in DrosophilaWe analyzed the complex leg kinematics of Drosophila during turning maneuvers and created models that use non linear dimensionality reduction to visualize kinematics in embeddings. |
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Dendritic Spine AnalysisI developed a novel pipeline for analyzing dendritic spine morphology using deep learning-based segmentation. I implemented YOLOv9 to detect dendritic spines from two-photon microscopy images. The model achieved 92% accuracy in spine detection and classification. I also created a an algorithim that analyzes key characteristics such as distances from spine to dendrite. |
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Quantifying Storm Impacts on Coastal Carbon BudgetsWe analyzed the impact of storms on coastal carbon budgets using NASA satellite data. Our work revealed correlations between storm events and sediment-derived DOC distribution in the Gulf of Mexico. |
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Fostering Big Data Ocean Observation Research Experiences for High-School StudentsWe focused on engaging high-school students in ocean sciences through a combination of remote instruction and in-person workshops. |
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