Research Specialist at Emory University School of Medicine
Atlanta Metropolitan Area United States
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Summary
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Senior
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Top School
Leonardo Tang is a research specialist with 8 years of experience applying deep learning and computer vision to medical imaging, currently developing advanced pipelines at Emory University School of Medicine. He designs and implements novel architectures—ranging from U-Net variants and FiLM-modulated diffusion models to LSTMs and VAEs—to tackle brain tumor segmentation, MR spectroscopy denoising, and multi-modal prostate cancer analysis. His work uniquely blends frequency-prior loss functions and hemodynamic or biophysical priors to push models toward physically meaningful latent representations. Leonardo combines academic rigor from UC Berkeley and Georgia Tech with hands-on systems experience (including real-time video and drone data pipelines and blockchain market-making research), enabling a pragmatic bridge between research ideas and deployable tools. He is pursuing a PhD to study how explicit inductive biases can balance emergent abilities in vision models, aiming to produce models that are both adaptable and physically adherent.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering and Computer Science, Bachelor of Science - BS Electrical Engineering and Computer Science at University of California, Berkeley
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
High School Diploma, High School Diploma at Northview High School
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